`PLX-OCR v1.0`

Next-generation Optical Character Recognition powered by advanced AI. PLX-OCR supports agnostic multilingual input and delivers industry-leading accuracy in Arabic text extraction. It's trained to identify sensitive data, parse complex tables into JSON, and extract text from any document with unmatched speed—making it a powerful solution across a wide range of applications.

View Examples See Pricing

99%

Accuracy Rate

2.3s

Avg Processing

40+

Languages

24/7

API Uptime

`Why Choose PLX-OCR?`

Advanced AI technology meets enterprise-grade reliability

`Lightning Fast`

Process documents in seconds with our optimized AI pipeline

`Pixel Perfect`

Industry-leading accuracy even with poor quality images

`Multi-Language`

Support for 40+ languages and scripts worldwide

`Enterprise Security`

End-to-end encryption with advanced privacy measures

`Smart Processing`

AI-powered layout detection and text structure preservation

`Developer Friendly`

RESTful APIs with comprehensive SDKs and documentation

`See PLX-OCR in Action`

Real examples showcasing our OCR capabilities across different document types

INPUT

OUTPUT

`Example 1: Tables and Formulas`

Even with complex tables, technical notation, and dense academic language, our advanced OCR captures structure, preserves mathematical formatting, understands scientific context—and even parses tables directly into JSON-ready data.

✓ Challenges Overcome:

Complex Scientific Notation and Mathematical Symbols.
Structured Tables with Mixed Numeric and Symbolic Content.
Degraded Print Quality and Dense Text Layout.

⚡ Processing Stats:

Processing time: 3 seconds
Accuracy: 98%

INPUT

OUTPUT

`Example 2: Arabic handwriting`

This challenging handwritten medical manuscript features multiple ink colors, diagonal marginalia, and inconsistent scripts and numeral systems, complicating automated recognition. Our advanced vision-language OCR accurately decodes even difficult handwriting while preserving medical terminology and context.

✓ Challenges Overcome:

Multi-Color Text: The document uses both black and red ink.
Marginal Notes (Marginalia).
Inconsistent Numeral Systems.

⚡ Processing Stats:

Processing time: 2.2 seconds
Accuracy: 95.8%
Words detected: 130

INPUT

OUTPUT

`Example 3: Arabic handwriting`

Even with connected cursive, inconsistent characters, ambiguous dot placement, and page distortions from age and curvature, our OCR excels—accurately extracting text where others fail.

✓ Challenges Overcome:

Cursive Script and Ligatures: The text is in a connected, handwritten script.
Diacritical Dot Ambiguity: In this manuscript, dots are not always precisely placed.
Page Distortion and Quality.

⚡ Processing Stats:

Processing time: 1.8 seconds
Accuracy: 96%
Words detected: 95

INPUT

OUTPUT

`Example 4: Tables`

Our OCR tackles dense, structured medical tables with ease—extracting multicolumn layouts, statistical groupings, and footnoted clinical terms with exceptional accuracy.

✓ Challenges Overcome:

Preserves structure.
Parses content.
Understands context.

⚡ Processing Stats:

Processing time: 2.1 seconds
Accuracy: 99.3%

INPUT

OUTPUT

`Example 5: DNA sequence`

Our OCR system accurately extracted complex biological information from a dense patent page, including DNA and amino acid sequences, structured tables, and tightly formatted scientific text. It overcame challenges like mixed-format tables, long repetitive sequences, and minimal spacing—proving it's ideal for high-precision tasks in research, biomedical, and technical domains.

✓ Challenges Overcome:

Mixed-format table recognition.
High-accuracy sequence extraction.
Reliable parsing of dense, technical content.

⚡ Processing Stats:

Processing time: 0.9 seconds
Accuracy: 99%
characters detected 2,212

INPUT

OUTPUT

`Example 6: Formulas`

Our OCR system accurately captures complex mathematical content, including LaTeX equations, inline expressions, and technical text—all in one pass. It’s ideal for digitizing research papers and academic material without losing structure or precision.

✓ Challenges Overcome:

Complex LaTeX equation formatting
Mixed math and text parsing
Precise symbol and index recognition

⚡ Processing Stats:

Processing time: 2.1 seconds
Accuracy: 97%

INPUT

OUTPUT

`Example 7: Printed Arabic text`

This example perfectly showcases the OCR's power, as it flawlessly transcribed the entire page—not just the text, but the complete structure from the page number down to the detailed footnotes.

✓ Enhanced Features:

Recognition of Specific Numerals and Symbols
Structural Document Analysis
Right-to-Left (RTL) Language Processing

⚡ Processing Stats:

Processing time: 3.1 seconds
Accuracy: 99%
Words detected: 494

`Simple, Transparent Pricing`

Choose the plan that fits your needs. No hidden fees, cancel anytime.

`Starter`

$39

/month

5,000 pages/month
Basic API access
Email support
Standard processing speed
Priority processing
Custom integrations

`Professional`

$179

/month

25,000 pages/month
Full API access
Priority support
High-speed processing
Batch processing
Webhook notifications

`Enterprise`

Custom

Avg: 0.0075$/page

Unlimited pages
White-label API
24/7 phone support
Dedicated infrastructure
Custom integrations
SLA guarantees

All plans include SSL encryption, GDPR compliance, and 99.9% uptime SLA

`Frequently Asked Questions`

Everything you need to know about PLX-OCR

PLX-OCR is an integrated solution designed to handle a wide variety of file formats across multiple document types.

Supported formats include:

Image formats: PNG, JPG, JPEG, BMP, TIFF, WebP, PNM
PDF formats: Single and multi-page PDF files
Office formats: DOC, DOCX, XLS, XLSX, PPT, PPTX
Email formats: EML, MSG, MBOX
Others: TXT, RTF, HTML, XML

We support documents up to 50 MB in size and ensure high‑accuracy text extraction across all supported types.

Our accuracy rates vary by document type: 99.8% for printed text, 97% for handwritten text, and 95% for poor‑quality scans. We continuously improve our models with new training data.

Absolutely. We use end-to-end encryption and never store your documents after processing. Your data is processed in secure, isolated environments.

Yes! We provide RESTful APIs, SDKs for popular languages, webhook notifications, and pre-built integrations for platforms like Zapier, Make, and Microsoft Power Automate.

PLX-OCR v1.0, including both the API and SDK, will be available to all users starting January 1, 2026.

Early access will be granted to select exclusive users ahead of the public release.

PLX-OCR v1.0

Why Choose PLX-OCR?

Lightning Fast

Pixel Perfect

Multi-Language

Enterprise Security

Smart Processing

Developer Friendly

See PLX-OCR in Action

Example 1: Tables and Formulas

✓ Challenges Overcome:

⚡ Processing Stats:

Example 2: Arabic handwriting

✓ Challenges Overcome:

⚡ Processing Stats:

Example 3: Arabic handwriting

✓ Challenges Overcome:

⚡ Processing Stats:

Example 4: Tables

✓ Challenges Overcome:

⚡ Processing Stats:

Example 5: DNA sequence

✓ Challenges Overcome:

⚡ Processing Stats:

Example 6: Formulas

✓ Challenges Overcome:

⚡ Processing Stats:

Example 7: Printed Arabic text

✓ Enhanced Features:

⚡ Processing Stats:

Simple, Transparent Pricing

Starter

Professional

Enterprise

Frequently Asked Questions

What file formats does PLX-OCR support?

How accurate is the text extraction?

Is my data secure and private?

Can I integrate PLX-OCR into my existing workflow?

When will the API and SDK be available?

`PLX-OCR v1.0`

`Why Choose PLX-OCR?`

`Lightning Fast`

`Pixel Perfect`

`Multi-Language`

`Enterprise Security`

`Smart Processing`

`Developer Friendly`

`See PLX-OCR in Action`

`Example 1: Tables and Formulas`

`Example 2: Arabic handwriting`

`Example 3: Arabic handwriting`

`Example 4: Tables`

`Example 5: DNA sequence`

`Example 6: Formulas`

`Example 7: Printed Arabic text`

`Simple, Transparent Pricing`

`Starter`

`Professional`

`Enterprise`

`Frequently Asked Questions`