Simple pricing for all your complex document processing needs

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Monthly

Annual

COMPARE PLANS

STARTER
$499/month
$416/month

Number of pages/month

5,000

Overage/page

$0.05

GROWTH
$999/month
$833/month

Number of pages/month

10,000

Overage/page

$0.04

ADVANCED
$1,999/month
$1,666/month

Number of pages/month

20,000

Overage/page

$0.03

PRO
$2,999/month
$2,499/month

Number of pages/month

30,000

Overage/page

$0.02

Number of pages/month

5,000

10,000

20,000

30,000

Overage/page

$0.05

$0.04

$0.03

$0.02

Unstract Enterprise On-Premise

Our Enterprise Plan is tailored to meet your unique business needs and for those seeking to self-host Unstract on-premise. You can leverage the power of Unstract while maintaining full ownership of your data, infrastructure, and security.

Claim $10 free credit!

To help you get started, we’re offering a $10 free credit on Azure OpenAI GPT-4o and free access to Postgres, Azure OpenAI Embedding, and LLMWhisperer text extractor

Simple pay-as-you-go pricing.
No flat fee or upfront commitment needed.

Start free: Process up to 100 pages daily at no cost. No credit card required!

Monthly

Annual

PROCESSING MODES

NATIVE TEXT
$199

/month

$1/1000 pages

Cost per page

$0.0500

Cost per page above quota

$0.0525

Supported document types

Recommended use cases

LOW COST

$5/1000 pages

$5/1000 pages

Cost per page

$0.0475

Cost per page above quota

$0.0500

Supported document types

Recommended use cases

HIGH QUALITY

$7/1000 pages

$10/1000 pages

Cost per page

$0.0450

Cost per page above quota

$0.0475

Supported document types

Recommended use cases

HIGH QUALITY

WITH FORM ELEMENTS

$15/1000 pages

$15/1000 pages

Cost per page

$0.0425

Cost per page above quota

$0.0450

Supported document types

Recommended use cases

Supported document types

Recommended use cases

ADD-ON

Source Document Highlighting API
$0.01/ line coordinate data lookup
With a little help from an LLM, you can implement source document highlighting with LLMWhisperer.
Generally implemented as a side-by-side view with the source document and the extracted data, this is incredibly useful to speed up manual reviews.

COMPARE PROCESSING MODES

NATIVE TEXT
LOW COST
HIGH QUALITY
HIGH QUALITY

WITH FORM ELEMENTS

Checkbox and Radio button detection

Line reproduction in output

Supported Languages

Image preprocessing (median filter and gaussian blur)

Line splitting strategy choice

Layout preserving output

Extraction performance

Handwriting recognition

AI/ML based enhancement

Rotation and skew compensation

Auto repair PDFs

Dense text
content

High entropy content (each page contains large variery of text sizes)

Responsive Comparison Table
  Native Text Low Cost High Quality High Quality
WITH FORM ELEMENTS
Checkbox and
Radio button
detection
Line reproduction
in output
Supported
Languages
All(Unicode) 120+
English default.
Reach out to us to
enable more languages
300+ 300+
Image preprocessing
(median filter
and gaussian blur)
Line splitting
strategy choice
Layout preserving
output
Extraction
performance
Very fast Fast Medium Medium
Handwriting
recognition
Basic support
AI/ML based
enhancement
Rotation and
skew compensation
Auto repair
PDFs
Dense text
content
Best Performance Very good Very good Very good
High entropy content
(each page contains
large variety of
text sizes)
Best Performance Very good Very good Very good

LLMWhisperer Enterprise On-Premise

Our Enterprise Plan is tailored to meet your unique business needs and for those seeking to self-host LLMwhisperer on-premise. You can leverage the power of LLMWhisperer while maintaining full ownership of your data, infrastructure, and security.

Free tier: 100 pages/day

To help you get started, we offer a free tier that lets you process up to 100 pages daily at no cost. No credit card is required to get started!

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Secure and Compliant, Always

Unstract adheres to the strict rules and regulations of various compliance authorities.
Rest assured, we have policies, systems, and processes to ensure that your data is always safe, secure, and private

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