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No credit card requiredTables and formulas preservedDocuments not used for training
Structured extraction

PDF to JSON-ready data—without training templates

Extract visual tables, repeated fields, and document structure into consistent Markdown and API response data for downstream automation.

Tables · Key fields · Page metadata

Use the stable API envelope to validate and transform extracted content in your own system.
curlbash
curl -X POST https://blazedocs.io/api/v1/convert \
  -H "Authorization: Bearer $BLAZEDOCS_API_KEY" \
  -F "file=@document.pdf"
Finally a PDF converter that outputs clean Markdown for my RAG pipeline.

Alex T. · Software engineer

1
response for content and usage metadata
Before and after

Make the source usable before the next workflow

Before
Visual layout
Values exist in positioned text, images, and tables that application code cannot address reliably.
After
Structured response

Use clean Markdown alongside file name, page count, token count, processing time, and quota data.

contentpage_counttoken_countusage
{
  "data": {
    "markdown": "# Invoice...",
    "page_count": 2
  }
}
Why BlazeDocs

Structure you can use—not another text dump

No templates to train
AI identifies common fields and layout across vendors, banks, scans, and document variations.
Structured output
Turn visual tables and key-value layouts into clean Markdown and API-ready data.
Built for sensitive work
Documents are processed securely, not used for model training, and PDFs are not permanently stored.
Product walkthrough

Watch a PDF become structured data

See tables and fields turn into readable Markdown and a predictable response envelope.

Developer quickstart

Start with one copy-pasteable request

The examples use the production API response shape and work with the tools already in your stack.

curlbash
curl -X POST https://blazedocs.io/api/v1/convert \
  -H "Authorization: Bearer $BLAZEDOCS_API_KEY" \
  -F "file=@document.pdf"
Pricing

Extraction without per-field charges

Pay for processed pages rather than creating and maintaining one template for each layout.

Start with three free conversions

FAQ

Questions before you try it?

Answers about accuracy, pricing, security, and this workflow.

How accurate is BlazeDocs OCR?+

BlazeDocs uses Mistral AI OCR and preserves reading order, headings, tables, formulas, and lists. Clean text PDFs are near-perfect; difficult scans typically exceed 95% character accuracy.

How does BlazeDocs pricing work?+

The free plan includes three uploads per month with the first five pages of each file. Paid plans start at $9.99 per month for 500 pages, with API plans for production volume.

Are uploaded documents private?+

Documents are processed securely and are not used to train models. PDFs are handled in memory rather than permanently stored; review the security and privacy pages for current controls.

Does BlazeDocs infer a custom JSON schema?+

The API returns a stable envelope with Markdown and usage metadata. The Markdown preserves source structure so your application or LLM can map it into its required schema.

Do I need a template for each document layout?+

No. OCR and document understanding operate on the uploaded layout rather than requiring a manually trained template per vendor.

Ready to make this document usable?

Try the workflow with your own document before deciding. No credit card required.