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Summarize this article with:
- Table OCR lets you extract tabular data from PDFs and images in one shot.
- Developers can Extract Tables in Images / PDF with Python using a REST API that accepts standard inputs and returns structured JSON responses.
- The integration works with Python, JavaScript, PHP, and any HTTP-capable language with minimal setup.
- A multi-provider API removes the need to manage separate accounts and authentication per vendor.
- Response formats are standardized across providers, eliminating custom parsing logic per vendor.
In this tutorial, you will learn how to use OCR Table API in 5 minutes using Python and Eden AI OCR Table API. Eden AI provides an easy and developer-friendly API that allows you to extract tables in your files.
What is OCR Table API?
Table OCR lets you extract tabular data from PDFs and images in one shot. It uses a combination of Optical Character Recognition (OCR) and machine learning models that allow you to select and extract whole tables from images for later analysis, making it a valuable tool for businesses that handle large volumes of documents. Other document types like receipts, invoices, resumes, IDs, etc., also follow the same layout and benefit from Table OCR's capabilities.
Getting Started with OCR and Table Extraction API
The first step to getting started with OCR Table is to install Python's requests package, that will allow you to call Eden AI API.
Next, you'll need to install Python's JSON package to be able to read and print the result of the API request.
How to extract table in a PDF or an image with Python
You are now ready to process your file into Eden AI OCR Table API. You can process files in .pdf, .jpg, .png or .jpeg and documents in many languages.
1. Get an OCR Table API Key on Eden AI
To perform OCR Table, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key direclty from the homepage with free credits offered by Eden AI.
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2. Let’s Extract Tables with OCR
Now that you have imported packages on Python and got your API key, you will be able to extract text in your file. With Eden AI, you can choose from a wide range of different engines you want for OCR Table. You can see OCR Table providers available on Eden AI on our documentation here.
Here is the Python script you need to write on your notebook:
For example, we called two different OCR Table engines. Eden AI API will then return in its JSON response results of those providers.
Eden AI OCR Table API is an asynchronous API. It means that you will get in response an ID:
Then you will need to perform a GET request to check the status of the API request (success, processing, failed):
You will first get this response:
Once the request is done (status : finished), you will be able to get the result with this print:
Here is an example of a result for OCR Table task:
Benefits of using OCR Table API with Eden AI
Using Table Extraction with Eden AI API is quick and easy.
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Save time and cost
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specificic features of each provider.
Easy to integrate
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
Customization
With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your OCR Table request with specific parameters, check out our documentation.
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