One API for open-weightsdocument parsers.

$1 per 1,000 pages · first 1,000 free

One API for open-weights

We host open-weights parsing models and normalize what they return, so the output shape stays the same when the parser changes.

Create an API keyRead the docs

PaddleOCR-VL available nowBlock citations on every valueSync, async, or batch

1

Analyzeread the page

2

Structureblocks + markdown

3

Extractschema to json

b1 title

PAYMENT AUTHORIZATION

b2 field

Account

4021-8837

b3 field

Date

May 2025

b4 table

ItemAmount

Consulting$4,636.40

Adjustment\-$318.20

Total$4,318.20

b5 checkbox

PaidPending

b6 signature

readingpaddleocr-vl-1.6

analyzing

{ }

0/6 blocks

/ api

Parse and extract run sync, async, or batch.

Endpoints for parsing, schema extraction, job status, document listing, and file retrieval. Every request uses the same API key.

endpointsapi.openparser.dev

• POST`/parse`
SyncAsyncBatch
• POST`/extract`fills your schema, cites block ids
• GET`/jobs/{id}`status and result of async requests
• GET`/files`documents in your workspace
• GET`/files/{id}/content`stored bytes and page images
• Full API reference

POST`/parse`request

curl https://api.openparser.dev/parse \
  -H "Authorization: Bearer op_live_…" \
  -F "file=@statement.pdf"

response200 · 1.9s

{
  "documentId": "doc_3f9a2c",
  "filename": "statement.pdf",
  "pageCount": 1,
  "markdown": "## Payment Authorization\n| Item | …",
  "output": {
    "chunks": [
      { "blocks": [
        { "id": "b4", "type": "table",
          "content": "| Item | Amount |\n| …",
          "boundingBox": { "left": 14, "top": 53,
                           "right": 146, "bottom": 123 },
          "metadata": {
            "page": { "number": 1, "width": 1240, "height": 1754 },
            "avgOcrConfidence": 0.98 } }
      ] }
    ]
  },
  "elapsedMs": 1904
}

/ console

Test and manage OpenParser in the console.

Sign in to test requests in the playground, create keys per environment, review page usage and invoices, and manage team access. An open-weights model does the parsing. You pick the LLM that does the extraction.

• PlaygroundliveUpload a document, inspect the parsed blocks and markdown, and test schema extraction before you write any integration code.
• API keysCreate and revoke keys per environment, with separate credentials for development and production.
• BillingPages parsed, cost to date, and monthly invoices for the workspace. The first 1,000 pages are free.
• TeamInvite teammates to a shared workspace with owner, admin, and member roles.

openparser.dev/playgroundsigned in

playgroundno code

statement.pdf1 page · 48 KB

parsePaddleOCR-VL-1.6open

extractClaudeGPT-4oLlamalocalany LLM

Run`{ total: "$4,318.20" }` b4

openparser.dev/keyssigned in

api keys2 active

`op_live_9f4c…3a2c`prodJul 12revoke

`op_live_2b81…77c3`devJul 18revoke

\+ Create key

openparser.dev/billingsigned in

billingjuly

3,420pages$3.42

$1 / 1,000 pages · first 1,000 free

Jul$3.42current

Jun$2.68paid

openparser.dev/teamsigned in

team3 members

YouOwner

J. CarterAdmin

S. MillerMember

\+ Invite

openparser.dev/playgroundsigned in

playgroundno code

statement.pdf1 page · 48 KB

parsePaddleOCR-VL-1.6open

extractClaudeGPT-4oLlamalocalany LLM

Run`{ total: "$4,318.20" }` b4

Try the playgroundCreate an API key

/ output

Make your documents agent-ready.

Typed blocks carry ids and per-block OCR confidence. Extraction names those ids instead of inventing coordinates, so an agent cites what it read and an invalid id resolves nowhere.

Typed blocks or markdown

Each page returns typed layout blocks, markdown, or both. Block types include headings, tables, figures, and signatures.

b10.99

b40.98

b60.70

OCR confidence per block

Every parsed block carries an OCR confidence score, so you can set a threshold and route low-confidence pages to review.

One format across parsers

One parser calls it a figure, another an image. Block types map to one schema. PaddleOCR-VL, open weights, is the adapter available today.

schema {

total

}

{

total: "$4,318"

}

Choose the extraction LLM separately

The parsing model does not set the extraction LLM. Point a schema at a parse and fill it with Claude, GPT, or a model you host.

b4

Block citations on every value

Each extracted value carries the id of the block it was read from, so you can highlight that region on the source page.

b2b4b6

x, y, w, h

No generated coordinates

The model names block ids, not geometry. An id that is not in the parse fails to resolve instead of pointing at a region that was never there.

/ pricing

Pay for the pages you parse.

The first 1,000 pages are free. After that, parsing is $1 per 1,000 pages. Extraction adds the token cost of whichever model you pick.

start free1,000pages free

pay per page

$1/ 1,000 pages

async or batch

extractionPer tokenbilled based on model

• No minimums
• No per-seat fees
• Sync, async, and batch
• Block citations
• Console and API keys

/ 1,000 pages free

Try it on your

Create a key, POST a document, and get back typed blocks, markdown, and JSON with a block citation on every value. The first 1,000 pages are free.

Create an API keyRead the docs