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DocDigitizer: Document Extraction API

DocDigitizer helps software and enterprise teams convert unstructured documents into machine-readable data. It is designed for businesses that need to automate data entry from invoices, contracts, and IDs.

At a glance

Best for
Software companies, Enterprise engineering teams, Developers building RAG pipelines
Pricing
Pricing starts at €25/month for the Hobby plan (500 credits). A free tier is available with 50 credits and requires no credit card.
Key use cases
Invoice and Receipt Processing, Identity Verification (KYC), Contract Intelligence, Financial Document Analysis, AI Agent Integration
Integrations
Python SDK, Node.js SDK, REST API, Zapier, LangChain
Official website
docdigitizer.com
Screenshot of doc digitizer website

DocDigitizer is a developer-focused API designed to extract information from documents and return it as structured JSON. It supports 371+ document types, including business files like invoices, receipts, and financial statements, as well as identity documents from over 100 countries.

The service is built for software companies and enterprise teams integrating document processing into applications or AI agents. It uses multiple AI models, including GPT-4V and Claude, and routes tasks based on the document type.

Operational features include the ability to detect multiple separate documents within a single PDF or scan and the option to use custom JSON schemas to define specific output formats. Processing is performed within the European Union, and the service holds ISO certifications for security and privacy.

Buyers should confirm if the synchronous API response model and the per-page credit system align with their volume and technical architecture.

Key Features

Structured JSON Output

Converts documents into JSON data, supporting both auto-detected schemas and user-defined custom schemas.

Multi-Document Detection

Supports identifying and separating multiple documents found within a single uploaded file or on the same page.

Multi-Model Orchestration

Routes extraction tasks across different AI models, such as Claude and GPT-4V, based on the document type.

Synchronous API

Returns data in the same HTTP response, removing the need for polling, webhooks, or callbacks.

EU-Based Processing

Processes data within the European Union with ISO 27001, 27017, and 27018 certifications.

Developer SDKs

Provides official SDKs for Python and Node.js, as well as a CLI tool for automation.

Use Cases

Invoice and Receipt Processing

Extracting vendor names, line items, and totals from financial documents into a structured format.

Identity Verification (KYC)

Extracting data from passports and national IDs from over 100 different countries.

Contract Intelligence

Identifying parties, dates, and specific clauses from legal agreements and NDAs.

Financial Document Analysis

Converting bank statements, tax returns, and balance sheets into structured data.

AI Agent Integration

Providing AI agents with document processing capabilities via the MCP protocol.

Best For

Software companiesEnterprise engineering teamsDevelopers building RAG pipelines

Integrations

Python SDKNode.js SDKREST APIZapierLangChainClaude CodeCursorM-FilesSharePoint

Pricing

Pricing starts at €25/month for the Hobby plan (500 credits). A free tier is available with 50 credits and requires no credit card.

FAQ

How does DocDigitizer pricing work?

It uses a credit-based system where one credit equals one page. Failed extractions are not charged, and plans range from a free tier to custom Enterprise volume pricing.

Where is the data processed and stored?

All data is processed exclusively within the European Union. Documents are not stored after the extraction is complete.

Can I use a custom format for the extracted data?

Yes, buyers can provide a custom JSON schema in the API request to ensure the extracted fields match their specific requirements.

What documents can be extracted?

The tool supports over 371 types, including invoices, receipts, passports, national IDs, and various legal contracts.

Source category: Software Development

Source subcategory: Document Automation

Software Type:

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