DocDigitizer

DocDigitizer is a document extraction API that converts unstructured documents like PDFs, images, and scans into clean, structured JSON data. You send a document via API, and it returns extracted information—vendor names, amounts, dates, line items, and more—in a predictable format. It handles over 371 document types, including invoices, contracts, receipts, IDs, and financial statements, without requiring you to build custom parsers for each format.

The service works by orchestrating multiple AI models behind the scenes. It automatically routes each extraction task to the best available model—whether that's GPT-4V for complex layouts, Claude for semantic understanding, or specialized OCR engines for text recognition. This multi-model approach aims for higher accuracy than any single model could achieve. A key feature is its ability to detect and separate multiple documents within a single file, like twelve invoices in one PDF, and process each one individually. The output is schema-enforced, meaning you get consistent JSON structure every time, not probabilistic results that vary between runs.

This tool is built for developers and engineering teams who need reliable document processing in production systems. It's particularly useful for fintech companies automating invoice processing, legal services extracting clauses from contracts, or any business building AI agents that need structured data from documents. Instead of spending months building and maintaining an in-house OCR and LLM pipeline, teams can integrate DocDigitizer with a few lines of code and scale from testing to millions of pages.