CAPTCHA Automation Project
An intelligent automation solution that uses OCR and web automation to extract company data from the website. The system automatically solves CAPTCHAs, processes large batches of Corporate Identification Numbers (CINs), and exports structured filing data to Excel with full logging and error handling.
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Core Technologies :
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Overview
The CAPTCHA Automation Project was designed to automate the extraction of corporate filing data from the portal. Traditional manual extraction was time-consuming and error-prone due to frequent CAPTCHA prompts and browser session limits. Our solution combined AI-based OCR and Selenium automation to bypass manual intervention, handle login sessions, solve CAPTCHAs intelligently, and process large datasets efficiently.
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Started Year
2023
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Duration
4 Months
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Project Type
Automation & Data Extraction System
Business Goal
To eliminate manual dependency in retrieving company filing data from the portal and create a scalable, reliable, and fully automated solution that can process thousands of CIN records accurately, reducing manual effort and improving data accessibility for compliance and research teams.
Challenges
CAPTCHA images on the portal are frequently changed, making automated recognition complex.
Browser sessions expired frequently, requiring re-login and re-CAPTCHA handling.
OCR models often misread similar characters (e.g., 0/O, 1/I), leading to authentication failures.
Processing large Excel datasets required robust batch management and error recovery.
Roles & Responsibilities
- Requirement Analysis: Defined automation objectives and data flow structure.
- Development: Built Selenium-based automation for navigation, login, and extraction.
- OCR Integration: Integrated EasyOCR for CAPTCHA text recognition with preprocessing variants.
- Batch Processing: Implemented a batching mechanism to manage browser sessions efficiently.
- Logging & Reporting: Created Excel and CSV-based tracking logs for complete transparency.
- Testing & Optimization: Ensured stability across different system environments and large datasets.
Briskstar Approach
Briskstar’s team applied a structured automation strategy by combining AI-powered OCR with browser automation. We implemented multiple CAPTCHA-solving layers with retry and refresh mechanisms to handle OCR uncertainty.
Our approach emphasized data reliability, modular design, and batch processing — enabling smooth operation even with thousands of input records.
We also integrated Excel input/output automation for end-to-end workflow efficiency, ensuring the client could easily upload input files and download structured results without manual handling.
Results
- Achieved 90%+ accuracy in CAPTCHA solving through AI and text variation matching.
- Reduced manual data collection time by over 90%.
- Enabled 24/7 unattended operation for continuous data extraction.
- Delivered structured Excel outputs with automatic logging and retry mechanisms.
- Created a scalable automation framework that can be adapted for other government or compliance data portals.
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