PDF to Excel API Benefits
Extract Structured Data from PDF
Since the PDF.co engine analyzes input PDF documents and reproduces the original arrangement of tables and texts. You can extract structured data from PDF in accurate Excel format compared to other PDF to Excel converter tools.
Supports scanned and damaged text
Using our built-in OCR (Optical Character Recognition) which supports PDF files with mixed content and multiple languages. PDF.co can easily convert scanned and damaged texts inside your PDF.
Web API and Business Automation Platforms Integrations
The following programming languages are available for software developers on the API platform: C#, Java, Javascript, PHP, .NET and ASP.NET, Visual Basic, and more.
In case you are not a programmer, there is an option to easily automate your PDF activities through automation platforms such as Zapier, Integromat, UiPath, BluePrism, Automation Anywhere, and others.
On-Prem and Private Instances for Enterprise
PDF.co platform runs on secure and certified cloud infrastructure but Enterprises requiring to process sensitive data in-house can go with the on-premise version.
PDF to Excel Web API Sample & Demo
For this demo, I am going to use a Sample PDF File.
We’ll be using the code snippets below which are written in different programming languages which will convert the Sample PDF file above into Excel.
The final result will look like this.
Before we proceed with the code, let us first check the /v1/pdf/convert/to/xls parameters and its uses.
Endpoint
| URL: | https://api.pdf.co/v1/pdf/convert/to/xls |
| Method: | POST |
| Parameter | Description |
| url | required. Link to the source file. |
| lang | optional. English by default. Sets OCR (image to text extraction) language to be used for scanned PDF when the scanned document is detected or input is PNG, JPG images. Other supported values: eng, spa, deu, fra, jpn, chi_sim, chi_tra, kor. You can also specify two languages to be used on the same page, for example, eng+deu, jpn+kor, or other combinations. |
| inline | optional. Must be one of: true to return data as inline or false to return link to the output file (default). |
| unwrap | optional. Unwrap lines to a single line within table cells when lineGrouping is enabled. Must be one of true or false. |
| pages | optional. Comma-separated list of page indices (or ranges) to process. IMPORTANT: the very first page starts with 0 (zero). To set a range use the dash –, for example: 0, 2-5, 7-. |
| rect | optional. Defines coordinates for extraction, e.g. 51.8, 114.8, 235.5, 204.0. Must be a string. |
| encrypt | optional. Enable encryption for the output file: true or false |
| async | optional. Runs processing asynchronously. Returns jobId to use with job/check: true or false |
| name | optional. Output file name. |
| profiles | optional. Must be a String. Set custom configuration. See profiles examples here |
| lineGrouping | optional. Line grouping with table cells. Set to 1 to enable the grouping. Must be a string. |
Now we are ready to write some codes.
cURL Code Snippet
curl --location --request POST 'https://api.pdf.co/v1/pdf/convert/to/xls' \
--header 'x-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data-raw '{
"url": "https://bytescout-com.s3-us-west-2.amazonaws.com/files/demo-files/cloud-api/pdf-to-excel/sample.pdf"
}'
This sample code and other cURL sample codes are available here.
Now let’s see this program in action.
The sample codes for PDF to Excel in JavaScript are located here.
The sample codes for PDF to Excel in PHP are located here.
The sample code for PDF to Excel in Python is here.
The sample codes for PDF to Excel in Java are located here.
The sample codes for PDF to Excel in C# are located here.
NOTE: Use PDF.co Document Classifier to know the source of the document. You can easily create and maintain classification rules with the desktop-based Classifier Testing Tool (see the details here)