JustOCR
← All guides

JustOCR guide

OCR service comparison: choose the output before the price

Compare JustOCR, Textract, Azure, Google Document AI and Mistral on page pricing, table outputs and setup before choosing an OCR service for your PDFs.

JustOCR suits finance and operations teams that want to prepare a PDF batch, review a page-based quote and download text with source previews. Its published rates are USD 1.50 per 1,000 pages for the standard batch option and USD 2.15 for the priority option, with a 30-page job minimum.1 Choose a cloud document API instead when the application needs indexed cells, source polygons or integration with an existing cloud identity system.71321

Compare the right product tier

These are published USD list rates checked on 13 October 2026. AWS figures use US West (Oregon).5 Azure figures use East US retail consumption meters.11 Google's figures use its published USD schedule.17 Mistral figures cover ordinary uncached global OCR 4.1 requests.2326

Published USD rates checked on 13 October 2026
Service and tierUSD per 1,000 pagesOutput or billing distinction
JustOCR standard / priority batch1.50 / 2.15Markdown, JSON and page previews; 30-page minimum.1
AWS Textract DetectDocumentText1.50Basic text OCR; first one million monthly pages in Oregon.5
AWS Textract Tables + Layout15.00Tables includes OCR; Layout is free with Tables at this tier.5
Azure Read1.50Basic OCR; first-tier East US consumption rate.11
Azure prebuilt/Layout10.00Table/layout extraction; separate from Read.1112
Google Enterprise Document OCR1.50 paid bandDetailed schedule lists the first 1,000 counts free; paid band runs to five million monthly pages.17
Google Layout Parser / Form Parser10.00 / 30.00Different processors and outputs; Form Parser rate is the first million monthly pages.1718
Mistral OCR 4.1 standard / batch4.00 / 2.00Direct OCR response versus queued batch; annotation pricing is separate.232629

A basic OCR price doesn't buy every feature in the provider's document platform. Textract's USD 1.50 text tier and USD 15.00 table tier answer different needs.5 JustOCR's lower listed batch price makes it a candidate for table-aware reading, but price alone doesn't establish equal extraction accuracy or cell metadata.

Budget storage, add-ons and the code that turns API responses into usable files. Volume discounts and free allowances can change the bill; negotiated enterprise rates aren't included here.

Units and minimums change small-job economics

A quote per 1,000 pages usually states a rate, not a compulsory 1,000-page purchase. AWS explicitly says it has no minimum fees; Azure bills analyzed pages.612 JustOCR does have a 30-page submission floor, so it isn't a fit for a single-page production job.1

Google's specialized Invoice, Expense and Utility parsers use a different unit: USD 0.10 for each document block of up to ten pages. A one-page invoice therefore costs USD 0.10 under that schedule. That rule doesn't apply to every Google OCR processor.17

Ask for both the processing charge and the cash needed to fund an account. A minimum credit purchase isn't the same as a minimum job charge. Check available checkout options before budgeting either.

Table-aware text versus cell-level data

JustOCR provides per-page Markdown, JSON and previews.1 Tables use semantic Markdown/HTML rendering and whole-table bounding boxes. Its JSON carries block text and bounding boxes, without explicit per-cell objects, geometry or confidence. This output suits reading and source review; applications that need a coordinate record for each amount require a different contract.

Textract exposes cell indices, spans, relationships, geometry and confidence.7 Azure Layout provides structured cells and polygons as well as Markdown containing HTML tables.13 Google's Form Parser handles simple tables; its documentation explicitly excludes row- or column-spanning cells.1920

Mistral offers Markdown or HTML table output, optional region blocks and page/block/word confidence.24 Those features deserve credit. They still aren't a Textract-style indexed cell graph.

Setup and turnaround are different buying decisions

JustOCR's documented workspace flow is add files, see price, then start OCR. Its customer API currently uses a signed-in browser session rather than external API keys.2 That's suitable for a person running document batches, less suitable for a server-to-server integration.

AWS requires an account, credentials and region configuration; multipage asynchronous processing uses S3 and job-result retrieval.8910 Azure requires a resource endpoint and authentication, then polling an analysis operation.1415 Google requires a project, enabled API, processor and IAM permissions; batch output goes to Cloud Storage.2122 Mistral offers a Studio API key and a direct OCR endpoint, plus separate batch jobs.272829

Check the promised turnaround in the job quote before submitting. A turnaround option states a service commitment; it doesn't establish measured processing speed. Microsoft says Document Intelligence has no latency SLA, and Mistral's batch timeout is an expiry setting, not a completion guarantee.1629 No same-document speed benchmark supports this comparison.

Pick the workflow you'll actually use

For document review, JustOCR's appeal is a page quote and downloadable outputs without building a cloud result viewer. For automated cell review, start with Textract or Azure Layout and test the schema against the target reports. For an existing Google workflow, choose the processor deliberately. For developers seeking a direct Markdown/HTML OCR API, test Mistral.

Try JustOCR with a public or redacted PDF that meets the job minimum. Review current pricing and follow the workspace's submission instructions. Compare corrections needed and review time before committing a larger batch.

Sources

View the sample files and compare the downloadable formats.