PDF.co vs OnlineOCR: OCR API or Browser Converter?

PDF.co and OnlineOCR.net can both recognize text in scanned PDFs and images, but they are designed for different buying situations.

OnlineOCR.net is primarily a browser-based OCR converter. A user uploads a scanned document or image, chooses a recognition language and output format, and downloads the converted file. It is a practical option for occasional PDF-to-Word, PDF-to-Excel, image-to-text, and searchable-PDF tasks.

PDF.co is a broader document-processing API. Developers and automation teams use it to perform OCR, extraction, conversion, parsing, PDF generation, editing, barcode processing, and other document operations without requiring a person to upload every file manually.

OnlineOCR also links to a separate developer service, OCRWebService.com, which provides REST and SOAP APIs. That API should be evaluated separately from the main OnlineOCR.net browser plans.

The central decision is whether you need a simple user-facing OCR converter or an API-centered document workflow that handles OCR alongside other PDF operations.

Short Answer

Choose OnlineOCR when:

A person needs to convert an occasional scanned PDF or image.
You want a browser-based PDF-to-Word or PDF-to-Excel tool.
You do not want to install desktop software.
You need plain text, Word, Excel, RTF, or PDF output.
The free guest limits are sufficient.
A user can manually upload, review, and download each file.
You want a short-term or page-based OCR plan.

Choose PDF.co when:

Documents must be processed automatically.
You need a REST API for OCR and other PDF operations.
Files arrive through email, URLs, cloud storage, forms, or applications.
You need structured JSON, CSV, XML, or Excel data.
You need invoice parsing or reusable document-parsing rules.
You need PDF-to-JPG or PDF-to-PNG conversion at scale.
You need HTML-to-PDF or URL-to-PDF generation.
You need PDF editing, form filling, barcodes, merging, or splitting.
Your workflow uses Zapier, Make, n8n, Bubble, or another automation platform.
You need asynchronous processing and webhook callbacks.

Consider OCRWebService.com when you specifically want OnlineOCR’s related REST or SOAP OCR service. Compare that service’s own pricing, documentation, security terms, and output requirements against PDF.co rather than assuming the OnlineOCR.net browser subscription includes API access.

What Is OnlineOCR?

OnlineOCR.net is an online optical character recognition service.

A user can upload a scanned PDF or image, select the document language, choose an output format, and run OCR from a web browser.

The current service advertises support for:

Scanned PDF files.
Multipage PDFs.
TIF and multipage TIFF files.
JPEG and JPG images.
BMP images.
PCX images.
PNG images.
GIF images.
ZIP archives containing supported files for registered users.

Available OCR output formats include:

Adobe PDF.
Microsoft Word.
Microsoft Excel.
RTF.
Plain text.

The current OnlineOCR feature page lists 46 recognition languages and recommends source-image resolutions between 200 and 400 DPI.

The service can be used without creating an account, although free guest use has lower limits. Registered and paid use adds higher file-size allowances, multipage processing, ZIP support, faster processing, saved document access, and additional page capacity.

OnlineOCR also provides an email-based OCR workflow, while its website refers developers to the related OCRWebService.com API.

What Is PDF.co?

PDF.co is a hosted REST API for PDF and document automation.

An application submits a source file, file URL, or document content to PDF.co. PDF.co performs the requested operation and returns a file, structured data, or background-job result.

PDF.co provides endpoints for:

OCR.
Making scanned PDFs searchable.
PDF-to-text conversion.
PDF-to-CSV conversion.
PDF-to-JSON conversion.
PDF-to-XML conversion.
PDF-to-Excel conversion.
PDF-to-HTML conversion.
PDF-to-image conversion.
AI invoice parsing.
Template-based document parsing.
Table and field extraction.
HTML-to-PDF conversion.
URL-to-PDF conversion.
Email-to-PDF conversion.
Image-to-PDF conversion.
Document-to-PDF conversion.
PDF merging and splitting.
PDF editing.
PDF form filling.
Compression.
Password-related operations.
Page rotation and deletion.
Barcode reading and generation.
Document classification.
Asynchronous processing and callbacks.

PDF.co is intended to operate inside another application or automation workflow. A person does not have to visit a conversion page for each document.

The Main Difference: Manual Conversion vs Automated Workflow

The primary OnlineOCR.net experience is interactive.

A typical browser workflow is:

Open OnlineOCR.net.
Upload a scanned PDF or image.
Select the recognition language.
Select Word, Excel, PDF, RTF, or text output.
Start the conversion.
Download the result.
Review or correct the converted file.

A typical PDF.co workflow is:

An application receives a document.
The application submits the document or URL to PDF.co.
PDF.co runs OCR, extraction, conversion, or parsing.
The application receives a result.
The result is stored or sent to the next business system.

OnlineOCR is convenient for a person who needs a converted file now. PDF.co is better suited to repeatable processing where no employee should have to upload and download every document.

OnlineOCR.net vs OCRWebService.com

The OnlineOCR website promotes two related but distinct ways to use its OCR technology.

OnlineOCR.net

OnlineOCR.net is the user-facing browser service.

It provides:

Guest conversion.
Registered-user workspaces.
Paid page packages.
PDF, image, and ZIP uploads.
Word, Excel, RTF, PDF, and text output.
Email OCR for registered accounts.

Its pricing page is designed around pages processed through the user-facing service.

OCRWebService.com

OCRWebService.com is the related developer product.

It provides:

REST API access.
SOAP API access.
HTTP and HTTPS requests.
OCR text in JSON or XML responses.
Downloadable converted files.
Multiple OCR languages.
Page-range selection.
Zonal OCR.
Word-coordinate output.
Account-information endpoints.
Samples for .NET, Java, PHP, and Python.

The standard OnlineOCR.net subscription should not automatically be described as an API plan. Teams should review OCRWebService.com’s separate registration, pricing, documentation, and terms.

This distinction is important when comparing the service with PDF.co, which is API-first and publishes all of its broader document functions through a single developer platform.

Free Guest Use

OnlineOCR currently advertises free guest processing without requiring registration.

The public site states that guest users can convert up to five files per hour.

Guest use has important restrictions:

Maximum file size is 15 MB.
Higher-volume processing requires registration or a paid plan.
Multipage and ZIP-related capabilities may require an account.
The free experience includes advertising.
Conversion speed can depend on current service workload.
A person must operate the browser workflow.

Free guest processing is useful for testing simple files or completing occasional conversions. It is not an appropriate basis for a production application unless the intended workflow remains genuinely manual and within the published limits.

Registered and Paid OnlineOCR Use

Creating an account increases the maximum file size to 200 MB and provides access to additional features.

The current site advertises:

Fifty free pages after registration.
Multipage-document processing.
Page-range selection.
ZIP-archive uploads.
Faster image processing under paid plans.
No advertising under paid plans.
A user document list.
Source and converted file access.
Email-based OCR.

Registered-user files may be handled differently from guest files. Review the current data-retention section before using an account for confidential documents.

Supported Input Formats

OnlineOCR supports a focused group of raster-image and PDF formats:

PDF.
TIF and TIFF.
JPEG and JPG.
BMP.
PCX.
PNG.
GIF.
ZIP archives containing supported formats.

Multipage PDFs and TIFFs are supported under applicable account conditions.

PDF.co accepts PDFs, images, URLs, email, and other supported document sources depending on the selected endpoint. It can also create PDFs from HTML, Office documents, spreadsheets, images, and webpages.

OnlineOCR is more focused on recognizing scanned content. PDF.co handles a wider range of document-generation, conversion, editing, and extraction scenarios.

Supported Output Formats

OnlineOCR’s main service currently lists five output types:

PDF.
Microsoft Word.
Microsoft Excel.
RTF.
Plain text.

The previous version of this comparison also listed HTML as an OnlineOCR output. HTML is not included in the current OnlineOCR key-features list and should not be claimed without confirmation.

PDF.co offers OCR and conversion outputs including:

Searchable PDF.
Plain text.
CSV.
JSON.
XML.
Excel.
HTML.
JPG.
PNG.
Other supported image formats.

OnlineOCR is especially relevant when an individual wants an editable Word or Excel file. PDF.co is especially relevant when software needs structured or machine-readable output.

Searchable PDF Conversion

Both services can help make a scanned PDF searchable.

A scanned PDF often contains a page image but no text layer. This means a user can see the words but cannot search or select them.

OCR adds recognized text to the document.

OnlineOCR lets a user upload the document and select PDF output. This can produce a searchable PDF suitable for personal retrieval or document review.

PDF.co can make scanned PDFs searchable through an automated API request. This is more useful when:

Every uploaded file must become searchable.
A document-management system needs indexable PDFs.
Searchable output must be created without manual interaction.
Files arrive continuously.
The searchable PDF is one step in another workflow.

A searchable PDF is not necessarily a fully editable PDF. The visible page may remain a scanned image with recognized text placed behind it.

PDF to Word

PDF-to-Word is a central OnlineOCR use case.

A user can upload a scanned PDF or image and request Word output. The service attempts to recognize the text and preserve the source layout.

This is convenient when a person needs to:

Edit the contents of a scanned letter.
Reuse text from a printed document.
Convert study notes.
Recover text from a scan.
Create a Word document from a multipage PDF.

OCR conversion cannot guarantee perfect Word formatting. Common problems include:

Incorrect line breaks.
Changed fonts.
Misaligned columns.
Missing images.
Incorrect tables.
Header and footer errors.
Reading-order mistakes.
Character-recognition errors.

PDF.co is more focused on API-driven extraction and conversion than manual Word editing. If the primary requirement is for an employee to receive a Word document through a browser, OnlineOCR may be the more direct choice.

If text needs to flow automatically into a database, PDF.co’s text, JSON, CSV, or document-parsing output may be more suitable.

PDF to Excel

Both services can support PDF-to-Excel scenarios, but the intended workflow differs.

OnlineOCR lets a user upload a scanned document and download an Excel file. Registered users can process multipage documents and select page ranges.

This is useful for occasional conversion of:

Scanned tables.
Printed price lists.
Forms.
Statements.
Inventory sheets.
Simple invoices.

PDF.co can convert PDFs to Excel through an API. It can also return CSV, JSON, or XML, which may be easier for a program to validate and import.

For recurring invoice or table extraction, PDF.co also offers specialized parsing tools.

OCR-to-Excel quality depends on:

Visible table borders.
Consistent columns.
Scan resolution.
Page rotation.
Cell alignment.
Merged cells.
Multi-line values.
Repeating page headers.
Whether the source is scanned or digitally generated.

Test both services with representative tables rather than relying on a single clean sample.

Structured Data Extraction

OnlineOCR extracts recognized content and converts it into document formats. Its companion API can return recognized text, page results, zones, and word coordinates.

This can be useful when developers want:

Plain OCR text.
OCR results for specified page ranges.
Text from defined image regions.
Word positions.
A Word, Excel, PDF, RTF, or text file.

However, text recognition is not the same as semantic document parsing.

An OCR result may include all the words on an invoice without identifying which word is:

The invoice number.
The invoice date.
The vendor.
The customer.
The subtotal.
The tax.
The total.
The purchase-order number.
A line-item quantity.
A line-item unit price.

PDF.co’s AI Invoice Parser and Document Parser are designed for this additional extraction layer.

Choose OnlineOCR or OCRWebService when raw recognized text or a converted Office file is sufficient. Choose PDF.co when the application needs named fields, tables, or reusable extraction logic.

Zonal OCR

The OCRWebService REST API supports zonal OCR.

A developer can define one or more rectangular areas using pixel coordinates and request text from those regions. This is useful when documents have a consistent layout and the required values always appear in fixed positions.

For example:

An account number is always in the upper-right corner.
A form ID always appears near the bottom.
A meter reading appears in a known box.
A label has a fixed text region.

Zonal OCR becomes less reliable when:

Scans are shifted.
Page sizes vary.
Fields move between document versions.
The document is rotated.
The content wraps onto additional lines.
Suppliers use different layouts.

PDF.co’s Document Parser can support template-based extraction, and its AI Invoice Parser is intended for invoices where layouts may vary.

OCR Languages

OnlineOCR’s current language list contains 46 recognition languages, including:

English.
French.
German.
Spanish.
Portuguese.
Italian.
Dutch.
Polish.
Russian.
Ukrainian.
Chinese Simplified.
Chinese Traditional.
Japanese.
Korean.
Turkish.
Greek.
Several additional European and Asian languages.

OnlineOCR recommends selecting the applicable document languages for better recognition.

PDF.co also supports multiple OCR languages. Verify the current language support for the specific endpoint and workflow.

A language appearing on a support list does not guarantee acceptable accuracy for every document. Test:

Accented characters.
Non-Latin scripts.
Mixed-language pages.
Numbers and currency.
Small type.
Low-quality scans.
Unusual fonts.
Rotated pages.
Vertical text.

Image Quality and OCR Accuracy

OnlineOCR recommends a resolution of 200 to 400 DPI. Its FAQ states that 200 or 300 DPI is generally recommended for conversion.

OCR quality depends on:

Resolution.
Focus.
Contrast.
Page rotation.
Skew.
Background patterns.
Compression artifacts.
Font size.
Language selection.
Table complexity.
Handwriting.
Page damage.

OnlineOCR advertises automatic rotation and full-page deskewing for rotated images.

PDF.co OCR is subject to many of the same input-quality factors.

Neither service should be expected to produce flawless results from every scan. A production workflow should include:

Validation rules.
Required-field checks.
Confidence thresholds where available.
Duplicate detection.
Manual review for uncertain results.
Preservation of the original file.
Logging of recognition failures.

Multipage Documents and Page Ranges

OnlineOCR supports multipage PDFs and TIFF files under registered-user and paid-plan features.

Users can also choose specific pages or page ranges. For example, a user can request selected pages from a longer document rather than processing every page.

This can reduce page usage when only part of a document requires OCR.

PDF.co endpoints similarly allow workflows to work with document pages according to the applicable operation and parameters.

For automation, applications should inspect document length before processing. This helps control:

Page-based costs.
Processing time.
File size.
Unnecessary OCR.
Output size.
Exception handling.

ZIP Processing

Registered OnlineOCR users can upload ZIP archives containing supported files.

This gives a user a simple way to submit several images together. It is useful for finite manual batches.

For continuous automation, a ZIP archive is often less useful than processing each document as an individual job. Individual processing makes it easier to:

Track each document.
Retry failures.
Record status.
Prevent one bad file from blocking the batch.
Store results separately.
Apply document-specific metadata.

PDF.co is more suited to individual API jobs and workflow-level batch orchestration.

Email OCR

OnlineOCR offers an Email OCR feature for registered users.

A user can email supported document attachments and receive converted files in reply.

Email commands can specify settings such as:

Recognition language.
Output format.
Page range.
Black-and-white conversion.
Combining results.
ZIP output.

The current email workflow lists a maximum attachment size of 30 MB.

This can be convenient for users who do not want to open the website. However, email introduces additional privacy and security considerations because files may pass through both the sender’s and recipient’s email infrastructure.

PDF.co also supports email-related document workflows. It can convert email messages and attachments to PDF and extract attachments through API operations.

For business automation, an API-controlled email workflow generally provides more status tracking and downstream processing than sending files manually.

PDF-to-Image Conversion

OnlineOCR’s website links to a separate PDF-to-image tool. That should not be confused with the central OCR output workflow.

PDF.co provides dedicated PDF-to-image API endpoints for automated JPG and PNG conversion.

PDF.co is a stronger fit when an application needs to:

Generate a thumbnail for every PDF.
Create a preview image for each page.
Feed PDF pages into computer vision.
Store JPG or PNG versions.
Convert a page range automatically.
Use the output in Bubble, Zapier, Make, or n8n.

OnlineOCR is more relevant when the goal is to recognize text and convert it into Word, Excel, PDF, RTF, or plain text.

PDF Generation and Editing

OnlineOCR is focused on OCR conversion. It is not a broad PDF-generation and editing platform.

It does not provide the same integrated set of endpoints for:

HTML-to-PDF conversion.
URL-to-PDF conversion.
Email-to-PDF conversion.
Adding text or images to PDF pages.
Filling PDF forms from a database.
Deleting or replacing PDF text.
Adding form fields.
Compressing PDFs.
Merging and splitting PDFs.
Adding and removing passwords.
Rotating and deleting pages.
Reading and generating barcodes.
Classifying documents.

PDF.co provides these operations alongside OCR.

If the workflow only needs OCR conversion, OnlineOCR may be sufficient. If the workflow requires several document operations, PDF.co reduces the need to combine unrelated services.

Barcodes

OnlineOCR and OCRWebService focus on recognizing text.

PDF.co provides dedicated barcode functionality for:

Reading barcodes from PDFs and images.
Processing files supplied through URLs.
Generating supported one-dimensional and two-dimensional barcodes.
Combining barcode recognition with document parsing.

This matters for workflows involving:

Shipping labels.
Inventory documents.
Medical forms.
Product labels.
Warehouse records.
Application forms.
Document-separation barcodes.

A standard OCR result may return text printed near a barcode without decoding the barcode itself.

API Comparison

PDF.co and OCRWebService.com both provide REST access, but their scope is different.

OCRWebService’s REST API focuses on recognition. Its documented processDocument operation supports:

Language selection.
Page ranges.
Black-and-white conversion.
Zonal OCR.
Converted output formats.
Extracted text.
Word coordinates.
JSON or XML responses.

PDF.co offers OCR plus a broader collection of document endpoints under one API.

Those include:

OCR and searchable PDFs.
Invoice parsing.
Document parsing.
PDF-to-image.
PDF-to-CSV, JSON, XML, Excel, and HTML.
HTML-to-PDF and URL-to-PDF.
Editing and form filling.
Barcodes.
Merge and split.
Compression.
Background jobs and callbacks.

Choose OCRWebService when a focused REST or SOAP OCR service meets the complete requirement. Choose PDF.co when OCR must connect with additional document operations.

Workflow Integrations

The previous version of this comparison focused only on PDF.co integrations and did not explain OnlineOCR’s developer options.

OnlineOCR can participate in workflows through:

Manual browser uploads.
Registered-user workspaces.
Email OCR.
The related OCRWebService REST API.
The OCRWebService SOAP API.
Custom HTTP clients.
Sample code for .NET, Java, PHP, and Python.

PDF.co provides its REST API together with automation-oriented documentation and integrations for platforms such as:

Zapier.
Make.
n8n.
Bubble.
Postman.
Custom applications.

OnlineOCR has integration options. PDF.co provides a broader and more explicitly automation-centered platform.

Bubble Workflow Example

A Bubble application using PDF.co can:

Accept a PDF uploaded by a user.
Store the uploaded file URL.
Send that URL to PDF.co through Bubble’s API Connector.
Request OCR, text extraction, PDF-to-image conversion, or invoice parsing.
Save the result in Bubble.
Display the extracted information or send it to another service.

Using OnlineOCR’s browser converter would require a user to leave the Bubble workflow and manually process the document.

Using OCRWebService could support a direct integration, but the developer would need to configure that separate API and work within its OCR-focused outputs.

n8n Workflow Example

An n8n accounts-payable workflow using PDF.co can:

Monitor an inbox.
Download invoice attachments.
Send each invoice to PDF.co.
Run OCR or invoice parsing.
Validate required fields.
Add approved data to an ERP.
Route uncertain results for review.
Store the original and processed documents.

OCRWebService could handle the OCR-text stage, but additional logic would be required to identify invoice fields and line items.

Processing Time

OnlineOCR states that average recognition time is several seconds per file, but actual timing depends on image quality and current service workload. A waiting list may form when many users submit requests simultaneously.

File length, resolution, selected output, and page complexity also affect conversion time.

PDF.co supports synchronous and asynchronous request modes. Background jobs and callbacks are useful for longer documents because the originating application does not need to hold a single HTTP connection open until processing finishes.

For either service, measure:

Median processing time.
Slowest typical processing time.
Timeout rate.
Failure rate.
Performance during peak periods.
Performance on large multipage files.

File-Size Limits

OnlineOCR’s current limits include:

Guest maximum: 15 MB per file.
Registered-user maximum: 200 MB per file.
Email OCR attachment maximum: 30 MB.

The website recommends contacting support for files larger than the registered-user limit.

PDF.co applies request, URL-input, and output limits according to the endpoint and account configuration. Review the current PDF.co documentation for the operation being used.

File size alone is not enough to estimate processing requirements. A compressed 20 MB PDF may contain hundreds of pages, while a 100 MB image PDF may contain only a few extremely high-resolution pages.

Privacy and File Retention

OnlineOCR’s current public pages contain descriptions that should be clarified before sensitive use.

The top of the current homepage states that the browser-based tool does not transmit or store data. However, the same site’s feature and FAQ sections describe uploaded guest documents as being deleted after conversion and registered-user source and converted files as being stored in the user’s document list for one month.

These statements appear inconsistent.

Before uploading confidential, regulated, or customer documents, confirm:

Whether the selected tool performs OCR locally or uploads files.
Whether guest and registered modes work differently.
How long source files are retained.
How long converted files are retained.
Whether files are used for troubleshooting.
Where processing occurs.
Whether account administrators can access stored files.
How a user can delete files early.
Whether a data-processing agreement is available.

The separate OCRWebService FAQ states that source and converted files are deleted after recognition. Its privacy policy also describes account information, file metadata, server-location flexibility, and international data processing. Review those terms independently.

PDF.co is also a hosted document processor. Organizations should review PDF.co’s current security, retention, link-expiration, privacy, data-residency, and contractual documentation before submitting sensitive files.

Do not rely on a short marketing statement as a substitute for an approved security and privacy review.

Pricing

OnlineOCR.net currently offers free guest conversion and paid page plans.

At the time of this review, its pricing page displayed:

Weekly: $5.95 for 2,000 pages, valid for seven days.
Monthly: $19.95 for 10,000 pages, valid for 30 days.
Lifetime page package: $49.95 for 30,000 pages with unlimited validity.

The weekly and monthly plans automatically renew unless canceled. Paid plans advertise a 200 MB file limit, ZIP support, faster processing, multipage support, and no advertising.

“Lifetime” refers to the purchased page balance having unlimited validity. It should not automatically be interpreted as a lifetime guarantee that the service or every current feature will remain available forever.

OCRWebService.com has separate API pricing. At the time of review, it advertised:

A 30-day trial with up to 25 pages per day.
Basic page packages beginning at a displayed $39.95.
Monthly plans beginning at a displayed $29.95 per month.
Additional plan configurations selected by page allowance and duration.

Check the live API pricing form because exact page quantities vary with the selected plan.

PDF.co uses credit-based pricing.

At the time of this review, the PDF.co pricing page displayed these annual-billing rates:

Basic: $8.99 per month with 16,500 credits per month.
Personal: $22.49 per month with 37,000 credits per month.
Business 1: $44.99 per month with 80,500 credits per month.
Business 2: $89.99 per month with 159,850 credits per month.
Business 3: $270 per month with 483,000 credits per month.
Enterprise: custom pricing.

PDF.co credit use varies by endpoint, page count, and operation. A direct page-price comparison is therefore incomplete. Estimate the actual combination of OCR, conversion, parsing, job checks, and other endpoints.

Total Cost of Ownership

OnlineOCR costs are relatively straightforward for an individual converting files manually:

Purchased pages.
User time.
Manual upload and download.
Manual result review.
Manual delivery to the destination system.

OCRWebService API costs can also include:

API plan.
Development.
Authentication handling.
File-upload logic.
Parsing of OCR results.
Monitoring.
Retry handling.
Storage.
Additional software for non-OCR PDF tasks.

PDF.co costs can include:

API credits.
Integration development.
Workflow monitoring.
File storage.
Exception handling.
Usage growth.

The least expensive subscription is not necessarily the lowest-cost workflow.

If an employee spends several hours each week uploading files and copying results, automation may provide greater savings than a lower page rate.

When OnlineOCR Is the Better Choice

OnlineOCR is likely the better option when:

A person has a small number of files.
The job is an occasional PDF-to-Word conversion.
A scanned table must become an Excel file.
The document is below the guest file-size limit.
No recurring system integration is required.
Manual review is expected.
A short-term weekly plan is sufficient.
The user wants a page package that does not expire.
Word or RTF output is important.
Browser-based operation is preferable to installed software.

Example:

A student has three scanned articles and wants editable Word files. The student can upload each document, choose the correct language, and download the result without building an API workflow.

When PDF.co Is the Better Choice

PDF.co is likely the better option when:

Documents arrive continuously.
OCR must run without human intervention.
Files come from email, cloud storage, forms, or URLs.
The result must be JSON, CSV, XML, or structured invoice data.
The workflow requires PDF-to-JPG or PDF-to-PNG.
Documents must be merged, split, compressed, or edited.
Barcodes must be recognized.
HTML or webpages must become PDFs.
The implementation uses Bubble, Zapier, Make, or n8n.
Background jobs and callbacks are important.
One API must support several document-processing tasks.

Example:

A company receives scanned purchase orders through a customer portal. Each document must be recognized, classified, converted into structured data, validated, and added to an internal system. PDF.co supports more of that workflow within one API.

When OCRWebService Is Worth Considering

OCRWebService may be suitable when:

You want a focused OCR API.
REST or SOAP is required.
Zonal OCR meets the extraction requirement.
Word, Excel, PDF, RTF, or text output is sufficient.
You do not need broader PDF editing or generation endpoints.
Its page-based API pricing matches your document volume.

Compare it directly against PDF.co using the same production test set, not only the OnlineOCR.net browser experience.

Questions to Ask Before Choosing

Ask these questions:

Will a person or an application process the files?
Do we need Word output or structured data?
Do we need plain OCR text or named document fields?
Do we need an API?
Is OnlineOCR.net or OCRWebService.com the actual product under consideration?
Do we need REST, SOAP, or ready-made workflow integrations?
How many pages will be processed each month?
What is the maximum file size?
Are multipage PDFs common?
Do we need page-range processing?
Do we need ZIP uploads?
Do we need zonal OCR?
Do we need PDF-to-image conversion?
Do we need HTML-to-PDF generation?
Do we need invoice parsing?
Do we need barcodes?
Which OCR languages are required?
What happens to guest and registered-user files?
How long are results retained?
Can sensitive files be uploaded under our security policy?
How will OCR errors be validated?
What is the manual cost of handling each file?

Frequently Asked Questions

Is OnlineOCR free?

OnlineOCR offers free guest conversion with published limits. The current site states that guest users can convert up to five files per hour, with a maximum file size of 15 MB.

Registered and paid plans provide higher limits and additional features.

What files does OnlineOCR support?

The current service lists PDF, TIFF, JPEG, BMP, PCX, PNG, GIF, and ZIP archives containing supported formats.

ZIP support is intended for registered users.

What outputs does OnlineOCR provide?

The current key-features page lists PDF, Microsoft Word, Microsoft Excel, RTF, and plain text.

Does OnlineOCR support multipage PDFs?

Yes, multipage PDFs are supported under applicable registered-user and paid-plan features.

Can OnlineOCR convert PDF to Word?

Yes. PDF-to-Word and image-to-Word conversion are central OnlineOCR use cases.

Conversion quality depends on the scan and document layout.

Can OnlineOCR convert PDF to Excel?

Yes. It can produce Excel output from PDFs and images.

Complex tables should be tested carefully.

Does OnlineOCR have an API?

OnlineOCR directs developers to the related OCRWebService.com product, which provides separate REST and SOAP APIs.

Review its API plans independently from OnlineOCR.net browser pricing.

Does OnlineOCR support zonal OCR?

The related OCRWebService REST API supports zonal OCR using pixel coordinates.

Does OnlineOCR offer email OCR?

Yes. Registered users can send supported attachments by email and receive converted files. The current email workflow lists a maximum attachment size of 30 MB.

How many languages does OnlineOCR support?

The current site lists 46 OCR recognition languages.

Does OnlineOCR retain uploaded files?

The public site gives different descriptions for different areas or modes. Its FAQ states that guest documents are deleted after conversion and registered-user documents are stored for one month. The current homepage also includes a broader claim that data is not transmitted or stored.

Confirm the behavior of the exact tool and account mode before uploading sensitive documents.

Which is better for PDF-to-Word?

OnlineOCR is generally more direct when a person wants to upload a scanned document and download a Word file.

Which is better for structured invoice extraction?

PDF.co is generally stronger because it provides AI Invoice Parser and Document Parser capabilities in addition to OCR.

Which is better for Bubble, Zapier, Make, or n8n?

PDF.co is generally easier because it is API-first and publishes automation-oriented integrations and documentation.

OCRWebService can also be called through HTTP, but it is a separate service focused on OCR.

Which is better for PDF-to-JPG?

PDF.co provides a dedicated PDF-to-image API and is generally the better choice for automated JPG or PNG conversion.

Can PDF.co make a scanned PDF searchable?

Yes. PDF.co supports OCR and searchable-PDF workflows through its API.

Can PDF.co convert a PDF to Word?

PDF.co focuses more heavily on API-based text, image, Excel, HTML, CSV, JSON, and XML workflows. If a user’s main requirement is an interactive PDF-to-Word converter, OnlineOCR may be the more direct product.

Can OnlineOCR parse invoices automatically?

OnlineOCR can recognize invoice text and attempt Word or Excel conversion, but OCR alone does not reliably label invoice fields and line items.

PDF.co provides a specialized AI Invoice Parser for structured invoice results.

Final Verdict

OnlineOCR and PDF.co both provide OCR, but they serve different types of workflows.

OnlineOCR is a convenient choice for individuals who want to upload a scanned PDF or image and download Word, Excel, PDF, RTF, or text output. Its free guest mode and page-based plans make it accessible for occasional and manually supervised conversions.

OCRWebService.com extends that OCR technology into separate REST and SOAP developer interfaces, including zonal OCR and word-coordinate output.

PDF.co is the stronger choice when OCR must operate as part of a broader automated document pipeline. It combines OCR with structured extraction, invoice parsing, PDF-to-image conversion, PDF generation, editing, barcodes, form filling, low-code integrations, and asynchronous processing.

Choose OnlineOCR when a person needs a quick browser conversion.

Consider OCRWebService when a focused OCR API is sufficient.

Choose PDF.co when the business needs one automation platform for OCR and the document operations that come before or after it.

Explore the PDF.co API documentation or review current PDF.co pricing to estimate the requirements for your document workflow.