Build your own document intelligence pipeline
A self-serve API for developers to parse, extract, evaluate, correct, and deploy document AI applications.
Turn Any PDF, Scan, or Image into Clean, Structured Markdown with the Parse API
Parse reads the layout, tables, and text of every page, detects the language, and ties each piece of text back to its exact position on the page. Get Markdown, typed blocks, and RAG-ready chunks in a single API call.
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Parse Turns Documents Built for Eyes into Data Built for AI
PDFs and scans are made for people to look at. They are not structured data. Parse reads a document the way a person would. It finds the regions on each page (text blocks, tables, figures, headers, footers, and formulas), detects the language, and reads the text with OCR, recording where every piece of text sits on the page. Before an LLM or a search index can use a document reliably, it needs exactly this: clean text in reading order, with tables kept intact and every piece of text tied back to its position.
Highest-Performance Extraction APIs, Flexible Enough for Your Tech Stack
No Long Onboarding. Build Your Extraction API in 6 Steps
Create a custom extraction model, define the fields you need, configure your preferred LLMs, and start processing documents without waiting through a traditional IDP implementation.
01
Start and choose the right model for each stage
02
Process the document
[Parse, Split, Extract]
03
Route uncertain fields to human review
04
Capture corrections and improve future accuracy
05
Evaluate the new model against the golden data
06
Deploy only when performance improves
Start Building with
IDP Forge
Processing fewer than 10,000 documents?
Build your first pipeline in IDP Forge, make your first API call in under 15 minutes, and start on the free tier.
Processing more than 1M documents?
Get BYOK, private or air-gapped deployment, dedicated support, advanced governance, and volume pricing for production workloads.
Build document AI that learns, proves and improves
Frequently Asked Questions
Evaluation Mode lets you run ground-truth tests against your own labeled data and get back an F1 report, so you can validate accuracy on your actual document types before deploying a pipeline to production — rather than relying only on general benchmark numbers.
Primarily developer teams building document pipelines, RAG systems, or AI agents that need reliable structured output from documents — rather than back-office teams looking for a no-code review-and-approval workstation.
IDP Forge is a document AI platform built for developers who need to turn unstructured documents — PDFs, scans, forms, contracts — into structured, machine-usable data. It's built around a Parse API (document → structured JSON/markdown) and an Extract API (schema-based field extraction), with additional Split and Classify capabilities for routing mixed document batches.
Traditional IDP platforms are built around human review queues, validation workflows, and case management. IDP Forge is API-first: it's designed to be embedded directly into software and AI pipelines, with a developer-facing evaluation and confidence-scoring layer instead of manual review stations.
IDP Forge returns a confidence score for each extracted field, not just an overall document-level score. This lets you build auto-approval workflows where high-confidence fields pass through automatically and low-confidence fields get flagged for review.


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