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I will develop poker ocr reader table recognition and hand history parser
Ayo
About this gig
I will develop a poker OCR reader system with table recognition and hand history parsing capabilities for extracting structured data from poker gameplay.
This system is built for technical buyers who need:
- Poker table recognition using computer vision
- OCR based card and game state detection
- Hand history parsing into structured formats
- Real time poker data extraction pipeline
- JSON, CSV, or database ready outputs
- Integration for analytics or tracking systems
- Support for poker platforms like PokerStars and GG Poker
The solution converts raw poker screen data into structured, usable datasets for analysis, automation, or software development.
Get to know Ayo
Ayo
Website Expert
- FromUnited Kingdom
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English, German
I specialize in developing advanced poker bots, poker screen readers, card detection systems, and real-time poker tracking tools for online gameplay analysis. My service focuses on automation, AI driven decision making, hand history tracking, HUD integration, table recognition, and custom poker software solutions. I build clean, secure, and high performance tools tailored for Texas Hold’em, Omaha, and multiple poker platforms with accuracy, speed, and reliability in mind.
FAQ
What is required to start?
Details of the poker platform and the type of data you want extracted.
Can this process data in real time?
Yes, real time OCR and table recognition can be implemented.
What output formats are supported?
JSON, CSV, or custom structured database formats.
Can it handle multiple tables?
Yes, multi table recognition can be added in advanced packages.
Is this a full poker bot?
No, this is a data extraction and OCR system, not an automated playing bot.
