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Best Document Data Extraction APIs in 2026

Summarize this article with:

summary
  • Amazon Web Services offers Amazon Textract, a fully managed machine learning service that automatically extracts text and data from scanned documents.
  • Google Cloud Document AI is a cloud-based document understanding solution powered by machine learning.
  • Consider your use case, budget, required accuracy, and language support.
  • Several providers offer free tiers or trial credits.
  • Eden AI acts as a single gateway to dozens of AI providers, standardizing API calls, billing, and response formats so you can focus on building rather than integration.

What is Document Data Extraction API?

A programming interface known as a Document Data Extraction API enables programmers to automatically extract data from different types of documents, including but not limited to PDFs, Word documents, spreadsheets, and images. These APIs leverage advanced OCR (Optical Character Recognition), Natural Language Processing (NLP), and machine learning techniques to identify and extract key data points from the documents. The extracted data is then returned in a structured format, such as JSON or XML, that can be easily integrated into other applications or databases. These APIs can be used for a wide range of purposes, such as automating data entry, streamlining document workflows, and improving data accuracy and consistency.

Document Data Extraction APIs

Best Document Data Extraction APIs

1. Amazon - Available on Eden AI

Amazon

Amazon Web Services offers Amazon Textract, a fully managed machine learning service that automatically extracts text and data from scanned documents. It goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. This allows businesses to easily process and analyze large volumes of documents without extensive manual data entry.

2. Base64.ai - Available on Eden AI

Base64.ai

Base64.ai is a cloud-based AI platform that accurately extracts text, data, handwriting, photos, and signatures from all types of documents. In seconds, Base64.ai discerns the document's type, extracts the relevant information, verifies the results, and integrates them into the customer's systems.

3. Google Cloud

Google Cloud

Google Cloud Document AI is a cloud-based document understanding solution powered by machine learning. It offers a range of APIs for extracting structured data from a wide variety of document types, including invoices, receipts, and forms. Google Cloud Document AI uses advanced OCR technology and machine learning models to understand document structure and extract relevant data fields, making it a powerful tool for automating document processing workflows.

4. Microsoft Azure

Microsoft Azure

Microsoft Azure Form Recognizer is a cloud-based service that uses machine learning models to extract text and structured data from forms and documents. It offers prebuilt models for common document types like invoices, receipts, and business cards, as well as the ability to train custom models for specific document formats. The service also provides layout analysis, which can identify tables, paragraphs, and other structural elements in a document.

5. Affinda

Affinda

Affinda is an AI-powered document processing platform that offers a wide range of document understanding capabilities. It provides APIs for extracting structured data from invoices, receipts, resumes, and other document types, supporting a wide variety of formats and layouts. Affinda also offers the ability to train custom models for specific document types.

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.

  • Centralized and fully monitored billing on Eden AI for all Document Extraction APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers
  • Standardized response format: the JSON output format is the same for all suppliers
  • The best Artificial Intelligence APIs in the market are available
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

FAQ — Document Data Extraction APIs

The key criteria are task-specific accuracy, pricing per request, supported languages, response latency, and ease of integration. Always benchmark on your own data before committing to a provider.
Most Document Data Extraction APIs expose a REST API with standardized JSON responses. A unified platform like Eden AI lets you access multiple providers with a single API key and switch between them with minimal code changes.
Yes. A provider-agnostic architecture lets you change providers with a one-line parameter update, enabling rapid experimentation without re-engineering your integration.
Most providers offer a free tier or trial credits. Eden AI's free plan also lets you test and compare multiple providers before scaling to production volumes.
Support varies by provider — some specialize in English while others cover 50+ languages. Check each provider's documentation for language coverage and file format support.

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