Document parsing for AI & data teams

Your RAG isn't failing at the model. It's failing at parsing.

BluFlow turns your messiest PDFs, scans and spreadsheets into clean, LLM-ready data — tables, layouts and reading order intact — so retrieval stops returning plausible-but-wrong answers. One API. Bring your own documents and benchmark it against whatever you run today.

Benchmark on your documents Read the API docs

One API · SDKs · MCP-native · SOC 2 · GDPR · ISO 27001 · Zero data retention

# One call. Clean, structured output.
POST /v1/extract
{
  "file": financial_statement.pdf,
  "schema": "balance_sheet_v3",
  "preserve_tables": true,
  "ocr": "auto"
}

→ returns
{
  "tables": [ // merged cells + headers intact ],
  "fields": { "total_assets": 4820000 },
  "confidence": 0.97,
  "markdown": "# ready for your LLM"
}

Trusted by employees of Afridi & Angell

Built for the AI you're actually shipping

Whatever you're building on your documents, the bottleneck is the same: getting clean, structured input. BluFlow is that layer.

RAG & search

Feed retrieval clean, structure-preserved chunks so answers stop coming back plausible-but-wrong.

Fewer hallucinations at the source

AI agents

Give agents reliable document inputs over MCP — no brittle parsing step that breaks on the next file.

MCP-native

Internal copilots

Turn policy docs, reports and contracts into structured knowledge your copilot can actually cite.

Grounded, citable answers

Data & migration

Batch-convert document archives into structured JSON or Markdown for your warehouse or vector store.

Batch by default

Getting clean data out of a document is not a solved problem.

Teams building AI on real-world documents hit the same wall: the file looks simple, the extraction is a mess. Here's what breaks.

A spreadsheet breaking apart into scattered tiles

Tables fall apart

Merged cells, misplaced headers, columns that shred across chunks. A financial statement comes back as numerical noise your model can't read.

Document columns with arrows crossing in the wrong order

Reading order collapses

On multi-column and complex layouts, the footer gets parsed before the body — sentences alternate between columns and the meaning is gone.

A scanner outputting a blurry, garbled document

Scans produce garbage

Plain text extractors choke on scanned PDFs, stamps, watermarks and handwriting — exactly the documents banks and legal teams deal with most.

A document passing through a lens, emitting structured field cards

AI parsers hallucinate

VLM-based parsers invent text that was never on the page. In finance, an extractor that fabricates a number is worse than one that leaves a gap.

A locked folder of documents disconnected from the cloud

You can't use the cloud

The accurate cloud APIs require shipping sensitive documents to a third party. For regulated data, that's a non-starter — and a procurement dead end.

A tangle of connected document-processing nodes

The pipeline never ends

One tool for text, another for tables, another for OCR, glue to reconcile them. It's a maintenance burden that breaks every time a document looks slightly new.

"PDFs are extremely messy under-the-hood, so expecting perfect output is a fool's errand." — Senior ML Engineer

The clean-data layer your AI stack is missing.

Layout-aware parsing, OCR and schema extraction in one pipeline — built on the format-preservation engine Bluente is known for.

▦

Fix RAG at the source

Most RAG failures look like model failures but start at parsing. Layout-aware extraction keeps tables, reading order and structure intact, so retrieval stops returning plausible-but-wrong passages.

{ }

Schema extraction + confidence

Define a schema and get clean JSON with per-field confidence scores. Low-confidence fields route to review instead of silently poisoning your index.

⚡

One API, not a stitched pipeline

Parse, OCR, extract and translate in a single call — MCP-native, with SDKs. Replace the PyMuPDF + OCR + table-parser + glue stack you maintain today.

◎

Benchmark on your own data

Bring your ground truth. Portable JSON and Markdown out — no proprietary format, no lock-in. Prove it on your hardest documents before you commit.

🌐

Scanned docs & 120+ languages

Multilingual OCR handles scanned, photographed and skewed pages with right-to-left and Asian scripts — the documents open-source parsers choke on.

🛡

Secure by default

Zero data retention, never used to train any model, SOC 2 / GDPR / ISO 27001 — on every tier. Deploy inside your own VPC when the data is sensitive.

From raw file to LLM-ready in four steps.

Send the file

API, watched folder, or upload. PDF, DOCX, XLSX, PPTX, images and scans — single files or batches of thousands.

Parse & OCR

Layout-aware parsing detects tables, columns, headings and figures. OCR kicks in automatically on scanned or image-based pages.

Extract to your schema

Pull structured fields and clean tables into the schema you define, with confidence scores and low-confidence review routing.

Ship it to your LLM

Get clean JSON or Markdown — structure preserved, ready to chunk, embed and feed into RAG or any model. No reformatting.

Built to fit your stack — API or workflow connector.

Call BluFlow as a single API, or wire it as a no-code workflow that runs the moment a document lands. Like GitHub Actions — for documents.

On file upload

When files arrive

sourceBulk upload

concurrency20

thenrun all steps

Parse

Parse document

ocrhigh

langsauto

OCR

Read scans

modeauto

handwritingon

Extract

Extract fields

schemabalance_sheet

fields18

Output

LLM-ready

formatJSON · MD

confidence0.97

JSONMarkdownStructured fieldsConfidence scoresAudit trail

REST API & SDKsOne endpoint for parse, OCR, extract and translate. Batch by default — a single file is just a batch of one.

Workflow connectorNo-code pipelines triggered on upload, schedule or webhook. Define it once as a workflow you own — no glue scripts to maintain.

MCP-nativePlug straight into AI agents and your RAG stack, so documents become LLM-ready inside the tools you already use.

Buy the layer, don't build it

Open-source parsers are free until you're maintaining four of them in production. Cloud APIs are accurate until the bill — or the data-residency policy — lands. BluFlow is the layer you'd otherwise spend a quarter building.

	BluFlow	Cloud OCR APIs	Open-source toolkits	DIY pipeline
Tables & layout preserved	✓ Layout-aware	Inconsistent	Varies	You build it
Zero data retention (every tier)	✓ Default	Often opt-in / gated	Your problem	Your problem
Runs in your VPC / air-gapped	✓ Supported	Rarely	Yes, unsupported	N/A
Audit trail & confidence scores	✓ Built in	Limited	No	You build it
One pipeline (parse+OCR+extract)	✓ One API	Per-feature	Multi-tool	Many tools
Vendor support & SLA	✓ Yes	✓ Yes	Community	None

Comparison reflects common patterns across the document-parsing category, not any single named product.

"Our RAG accuracy jumped the day we fixed parsing — not the model, not the vector DB. BluFlow gave us clean tables and reading order, and the hallucinations dropped."

Head of Data & AI, Global Bank

1 API

replaces your parsing stack

100%

table & structure fidelity

120+

languages, incl. scans

documents retained

Benchmark BluFlow on your documents.

Send us your hardest files — the dense tables, the scanned filings, the multi-column reports — and we'll show you clean, LLM-ready output, measured against whatever you run today.

✓ Bring your own ground truth — a real eval, not a canned demo
✓ API, SDKs and an MCP server, live in days not months
✓ Portable JSON & Markdown out — no proprietary format, no lock-in
✓ Transparent per-page pricing that holds up at production volume

Book a technical eval

We'll get back to you within one business day.

First name*

Last name*

Work email*

Company*

Role

What are you trying to process?

Approx. monthly volume

Anything else?

No spam. Your documents and details stay confidential — zero data retention applies.

✓ Thanks — we've got it. We'll be in touch within one business day.

Questions teams ask before they switch

You can — until you're maintaining four parsers, an OCR step, a table extractor and reconciliation glue that breaks on the next document type. Industry data shows internal builds succeed about a third as often as buying a specialized layer. BluFlow is production-grade extraction via API in days, with output portable enough that you're never locked in.

Yes — bring your own ground truth. We'll run BluFlow against your hardest documents and show per-field confidence and table/structure fidelity versus whatever you use today. We'd rather you trust your own eval than our marketing numbers.

Clean JSON or Markdown out, structure preserved, ready to chunk and embed. REST API, SDKs and an MCP server so agents can call it directly. One endpoint replaces the OCR + parser + reformatter pipeline you maintain today.

Transparent per-page pricing with no feature-stacking surprises, and throughput built for production batches — a single file is just a batch of one. Tell us your volume and we'll give you a number that holds at scale.

That's the hard case we're built for. Multilingual OCR handles scanned, photographed, skewed and watermarked pages, and layout-aware parsing keeps reading order and table structure correct on multi-column and complex layouts.

Zero data retention, never used to train any model, SOC 2 Type II, GDPR and ISO 27001 — on every tier. For sensitive workloads, deploy BluFlow inside your own VPC or air-gapped.

Stop losing answers to bad parsing.

Give us your messiest documents. We'll show you clean, LLM-ready data — and let you benchmark it against whatever you run today.

Benchmark on your documents