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AI · March 23, 2026

ReCognition

Define extraction schema, send document, get structured JSON

ReCognition launched on March 23, 2026.

What it does

ReCognition uses advanced AI to automate data extraction from receipts, invoices, and documents. You can build a custom schema or use one of the predefined schemas we trained on thousands of documents. We care about your security and do not persist any documents; all processing is on the fly. AI OCR engine can be hosted wherever you need it.

The developer-first OCR API for RAG. Convert messy tables, handwriting, and unstructured PDFs into clean, LLM-ready JSON context. Stateless EU-hosted engine.

Does a similar job

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  • DocumentAI2024 · finigami.com · ▲30

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  • Documind – Open-source AI tool to turn documents into structured data2024 · github.com · ▲169

    Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.

  • NinjaDoc Ai2025 · ninjadoc.ai · ▲90

    Hey HN, I'm the founder of Ninjadoc AI. I've spent years working with document processing, and I've always been frustrated by the existing solutions for structured data extraction. The core problem is that most tools force you into one of two bad options: Template-based extractors: You define fixed regions or rules. These are incredibly brittle and break the moment a document layout changes slightly (e.g., a new invoice template from a vendor). ML-based extractors: These require you to gather hundreds (sometimes thousands) of your own labeled documents to train a custom model for each…

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