PDF to CSV API Benefits

PDF to CSV Data Accuracy with PDF.co

Structured CSV as output

Our AI-based engine is analyzing input PDF documents and re-creates the original structure of tables and text as structured CSV data.

As a result, it can make post-processing and importing output data into a database faster and easier compared to regular PDF to CSV tools.

Supports damaged documents and scanned text

Input PDF files may contain text, scanned images, damaged text, and multiple languages text. PDF.co engine can recognize all these types of text in multiple languages with the help of our built-in OCR (Optical Character Recognition) powered by the additional AI and ML.

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Web API and Business Automation Platforms Integrations

PDF.co platform can be used by software developers from programming languages such as Javascript, PHP, Java, .NET and ASP.NET, C#, Visual Basic, and many others.

If you are not a developer then you can also easily automate your PDF operations via business automation platforms:

 

On-Prem and Private Instances for Enterprise

PDF.co platform runs on secure and certified cloud infrastructure but Enterprise customers required to process sensitive data in-house can go with the on-premise version that can be installed on your server and can work completely offline when required.

 

PDF to CSV API Sample & Demo

For this demo, I am going to use a Sample PDF File.

Screenshot of Souce File
Screenshot of Source File

We’ll be using the code snippets below which are written in different programming languages and will convert the Sample PDF File above into comma-separated values (CSV).

The final structured CSV result will look like this:

"Your Company Name","","","",
"Your Address","","","",
"City, State Zip","","","",
"","","","Invoice No. 123456",
"","","","Invoice Date 01/01/2016",
"Client Name","","","",
"Address","","","",
"City, State Zip","","","",
"Notes","","","",
"Item","Quantity","Price","Total",
"Item 1","1","40.00","40.00",
"Item 2","2","30.00","60.00",
"Item 3","3","20.00","60.00",
"Item 4","4","10.00","40.00",
"","","TOTAL","200.00",

Output CSV

Before we proceed with the code. Let us first check the /v1/pdf/convert/to/csv parameters and its uses.

Endpoint

URL: https://api.pdf.co/v1/pdf/convert/to/csv
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/checktrue 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 1to 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/csv' 
--header 'Content-Type: application/json' 
--header 'x-api-key: YOUR_API_KEY' 
--data-raw '{
    "url": "https://bytescout-com.s3-us-west-2.amazonaws.com/files/demo-files/cloud-api/pdf-to-csv/sample.pdf",
    "lang": "eng",
    "inline": "true",
    "unwrap": "",
    "pages": "0-",
    "rect": "",
    "async": "false",
    "encrypt": "false",    
    "name": "result.csv",
    "password": "",
    "lineGrouping": "",
    "profiles": ""
}'

This sample code and other cURL source code samples are available here.

Now let’s see this program in action.

Output CSV using cURL
Output CSV using cURL

JavaScript source code samples for PDF to CSV API are available in our repository here.

PHP source code samples for PDF to CSV API are available in our repository here.

The sample code for PDF to CSV in Python is here.

Java source code samples for PDF to CSV API are available in our repository here.

C# source code samples for PDF to CSV API are available in our repository here.

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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)

Related Pages:

Related Samples: