OpenParser logo

OpenParser Pricing 2026

Complete pricing guide for OpenParser — rates, costs, and free options.

Pay-per-useFree to start, then pay per use from $10Updated October 12, 2026

💰 OpenParser Pricing Overview

OpenParser uses a pay-per-use pricing model. Charged by usage at the published rates. Current pricing: Prepaid credits with per-page rates published per model and $10 of free credits at signup, no subscription tier. The cheapest engine, PaddleOCR-VL 1.6, is $1 per 1,000 pages; Azure DI Read is $1.73; Mistral OCR 3 is $2.30; Mistral OCR 4 is $4.60; Azure DI Layout is $11.50. Parse meters pages at the retail rate of whichever ocr_model the request names, and option surcharges are published live on GET /models/ocr. The /extract endpoint adds LLM token costs billed at the rate of the llm_model selected, on top of the page rate. Prices are in US dollars. OpenParser is a popular data extraction tool known for one ocr api over nine hosted models — typed blocks, markdown, and schema extraction with citations. You can start using OpenParser without paying, then pay only for what you use at the rates above.

Does ChatGPT recommend your AI tool?

Before you compare plans: does ChatGPT name OpenParser when someone asks for a data extraction recommendation? Run a free AI-visibility scan on any tool — 5 prompt angles, ~30 seconds, no signup, no card.

🔍 Compare Before You Buy

Comparing OpenParser to similar tools helps you make the best choice for your budget and needs:

Firecrawl

Freemium

AI web scraping API that turns websites into clean, LLM-ready markdown

Free plan + paid from $16-83/month

Compare with OpenParser →

Browse AI

Freemium

No-code web scraping and monitoring tool.

Free tier available, paid plans available

Compare with OpenParser →

OpenParser Rates & Pricing

Most Popular

Prepaid credits with per-page rates published per model and

$10

Of free credits at signup, no subscription tier

PaddleOCR-VL 1.6, is

$1

Per 1,000 pages

Azure DI Read is

$1.73

Mistral OCR 3 is

$2.30

Mistral OCR 4 is

$4.60

Azure DI Layout is

$11.50

* Pricing information is based on publicly available data and may not reflect current promotions, annual discounts, or regional pricing. Visit the official OpenParser website for the latest pricing.

🏷️

Is OpenParser your tool?

Claim it to take a capped slot in Data Extraction — each category sells a fixed number — so your row ranks above every free tool in it, and above the 2 alternatives we list for OpenParser, with a Featured badge.

Claim Now →

Is OpenParser Free?

✓Yes, you can start using OpenParser for free

Prepaid credits with per-page rates published per model and $10 of free credits at signup, no subscription tier. The cheapest engine, PaddleOCR-VL 1.6, is $1 per 1,000 pages; Azure DI Read is $1.73; Mistral OCR 3 is $2.30; Mistral OCR 4 is $4.60; Azure DI Layout is $11.50. Parse meters pages at the retail rate of whichever ocr_model the request names, and option surcharges are published live on GET /models/ocr. The /extract endpoint adds LLM token costs billed at the rate of the llm_model selected, on top of the page rate. Prices are in US dollars.

Check OpenParser pricing at the source

The breakdown above is our summary of OpenParser's published pricing, not a quote. Plans, limits and what each tier includes change without notice — confirm on OpenParser's own pages before you buy.

Official OpenParser site ↗

We do not represent OpenParser and these links are not paid placements.

Is OpenParser Worth It?

OpenParser is a premium data extraction tool that offers 6 key features including Nine hosted OCR engines swappable via one request field, Typed openparser@1 blocks with bounding boxes and confidence scores, Schema extraction that cites the source block id for every value. OpenParser is a document-parsing API whose selling point is model choice rather than a single house OCR engine. Nine hosted OCR models sit behind one request shape: PaddleOCR-VL, two generations of Mistral OCR, Azure Document Intelligence Layout and Read, Google enterprise document engines and AWS Textract among them. You change the `ocr_model` field and nothing else about your integration, which is a direct answer to the usual failure mode of document pipelines — the engine you standardised on turns out to be wrong for one document class and switching means rewriting the integration. Two endpoints carry the product. POST /parse returns a typed `openparser@1` block structure plus markdown, where blocks carry a kind (text, table, field, checkbox, signature), page number, bounding box and confidence. POST /extract fills a schema you supply and cites the block ids each value came from, so a downstream reviewer can trace any extracted field back to its position on the page. Sync, async and batch requests share the same request shape, with GET /jobs/{id} for async status and GET /files/{id}/content for reusable file bytes. Idempotency keys are supported on parse. Pricing is per page and published per model, which makes cost routing an explicit design decision: send bulk general documents to the cheapest open-weight engine and reserve the expensive enterprise engines for the layout-heavy exceptions.

✅ OpenParser is a good choice if you need:

  • •Nine hosted OCR engines swappable via one request field
  • •Typed openparser@1 blocks with bounding boxes and confidence scores
  • •Schema extraction that cites the source block id for every value
  • •Sync, async and batch share one request shape
  • •Idempotency keys on parse requests

💡 Value Assessment

OpenParser charges by usage, so what you spend scales with how much data extraction work you put through it. You can try it without paying before committing any money. Compare the rates above against your expected volume.

OpenParser Key Features

OpenParser comes packed with features that make it a strong contender in the data extraction space. Here's what you get:

1.
Nine hosted OCR engines swappable via one request field

Nine hosted OCR engines swappable via one request field helps you work more efficiently with OpenParser.

2.
Typed openparser@1 blocks with bounding boxes and confidence scores

Typed openparser@1 blocks with bounding boxes and confidence scores helps you work more efficiently with OpenParser.

3.
Schema extraction that cites the source block id for every value

Schema extraction that cites the source block id for every value helps you work more efficiently with OpenParser.

4.
Sync, async and batch share one request shape

Sync, async and batch share one request shape helps you work more efficiently with OpenParser.

5.
Idempotency keys on parse requests

Idempotency keys on parse requests helps you work more efficiently with OpenParser.

6.
Per-model page rates published live via the API

Integrate OpenParser into your own applications and workflows via the API.

OpenParser Alternatives & Their Pricing

Considering alternatives to OpenParser? Here's how competing tools compare on pricing:

Firecrawl

Freemium

AI web scraping API that turns websites into clean, LLM-ready markdown

Pricing: Free: limited one-time credits to test. Hobby/Standard: ~$16-83/mo with monthly credit allotment and JS rendering. Growth/Scale: ~$333+/mo for large credit pools and production RAG/agent pipelines.

Browse AI

Freemium

No-code web scraping and monitoring tool.

Pricing: Free tier available, paid plans available

Ready to try OpenParser?

Visit the official website for the latest pricing and to get started.

Frequently Asked Questions

Is OpenParser free to use?

Yes, you can start using OpenParser without paying. After that it charges by usage, from $10, so you pay only for what you use.

How much does OpenParser cost in 2026?

As of 2026, OpenParser pricing is: Prepaid credits with per-page rates published per model and $10 of free credits at signup, no subscription tier. The cheapest engine, PaddleOCR-VL 1.6, is $1 per 1,000 pages; Azure DI Read is $1.73; Mistral OCR 3 is $2.30; Mistral OCR 4 is $4.60; Azure DI Layout is $11.50. Parse meters pages at the retail rate of whichever ocr_model the request names, and option surcharges are published live on GET /models/ocr. The /extract endpoint adds LLM token costs billed at the rate of the llm_model selected, on top of the page rate. Prices are in US dollars. Visit the official OpenParser website for the most current pricing.

What is the lowest OpenParser price?

The lowest listed price is $10, and you can start without paying. See the full rates above.

What are the best alternatives to OpenParser?

Popular alternatives to OpenParser include Firecrawl, Browse AI. Each offers different features and pricing structures. Compare them on AISO Tools to find the best fit for your needs and budget.

Is OpenParser worth the price?

OpenParser is well-regarded in the data-extraction space, offering features like Nine hosted OCR engines swappable via one request field, Typed openparser@1 blocks with bounding boxes and confidence scores, Schema extraction that cites the source block id for every value. Whether it's worth the investment depends on your specific needs, usage volume, and budget. It charges by usage, so cost scales with how much you use it, and you can try it before paying.

Learn More

📬 Get the best new AI tools delivered weekly

One concise email with fresh launches, trending picks, and featured standouts.