Document AI for Indie Builders

PDF to Structured JSON. Turn Any Document Into Pipeline-Ready Data.

Upload a file or paste a URL. Get clean JSON with section hierarchy, table rows, paragraphs, and lists in one API call. Built for teams that need real extraction without enterprise sales calls.

$0.05 per page

$29/mo for 1000 pages

No signup wall

The Problem

Existing document extraction platforms target enterprise buyers. Indie teams get hit with minimum commitments, account manager friction, and inflexible contracts.

The Solution

This app extracts machine-ready structure from PDFs with vision support for scanned pages, then returns deterministic JSON your backend can parse in seconds.

Who Pays

Developers building ingestion pipelines, compliance tooling, RAG preprocessors, and analytics automations that need dependable document structure.

Why teams switch from legacy extraction APIs

Handles scanned PDFs and messy layouts with vision-first extraction.
Preserves tables as rows and headers instead of flattened text blobs.
Returns hierarchical JSON for direct ETL and indexing.
Paywall and webhook validation included so billing is enforceable out of the box.

Output Example Shape

{
  "metadata": { "pageCount": 12, "sourceType": "upload" },
  "sections": [
    {
      "type": "section",
      "heading": "3. Revenue Breakdown",
      "level": 2,
      "children": [
        { "type": "paragraph", "text": "..." },
        { "type": "table", "headers": ["Region", "Q1"], "rows": [["NA", "120000"]] }
      ]
    }
  ]
}

Run the extractor

See pricing

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Pricing

Pay As You Go

Builder Monthly

$29/mo

Includes 1,000 pages/month. Effective rate: $0.029/page.

Best for recurring ingestion pipelines
Lower blended cost at scale
Same extraction quality and JSON schema
Webhook-driven access validation

Choose Monthly Plan

FAQ

Does this work on scanned PDFs and images embedded in PDFs?

Yes. The extractor is designed to use Claude vision when an API key is configured, so scanned pages and mixed-layout documents are parsed into structured blocks.

What JSON structure do I get back?

You get nested sections with heading levels, paragraph nodes, list nodes, and normalized table arrays. Metadata includes source, page count, timestamp, and model used.

How do I unlock processing after payment?

Use a Stripe Payment Link success URL that returns users to this page with `?session_id={CHECKOUT_SESSION_ID}`. The app validates that session against your webhook feed and sets a secure cookie.

Is this suitable for production ingestion pipelines?

Yes. Responses are deterministic JSON, easy to validate and forward to ETL jobs, RAG chunkers, and downstream analytics workflows.