Data intelligence provider
Automating CAPTCHA Resolution for Data Scraping
A vision model trained to solve a stubborn login CAPTCHA at 98% accuracy, cutting resolution time from minutes to seconds.
- 98%
- CAPTCHA solve accuracy
- Minutes → Seconds
- time to resume scraping
Overview
- Client
- Data intelligence provider
- Focus areas
- Computer VisionDeep Learning
A data-scraping client needed to log into a portal gated by a CAPTCHA that was difficult even for humans to pass on the first try, so every failure meant pausing the bot and pulling in a person via Slack.
The problem
01
The CAPTCHA was hard enough that it frequently required human intervention to solve.
02
Every human hand-off paused the scraping bot and slowed the whole pipeline down significantly.
The solution
The solution
Vision model training
We collected and labeled a substantial dataset of CAPTCHA images from the portal, then trained a vision-based model to recognize and solve them directly.
Bot integration with fallback
The trained model was wired into the scraping bot: on encountering a CAPTCHA, it captures the image, predicts a solution and proceeds, falling back to a Slack hand-off only when the model isn't confident.
Results
98% accuracy solving the CAPTCHA automatically.
Human intervention needed for only a small fraction of attempts.
Time to resume scraping after a CAPTCHA dropped from minutes to seconds.
Scraping ran far more continuously, with fewer interruptions overall.
Conclusion
Replacing a human-in-the-loop bottleneck with a purpose-trained vision model turned an unreliable, manually-gated pipeline into a largely autonomous one, with a fallback path kept intact for the edge cases.
Have a similar problem to solve?
We'll scope it, prototype it, and tell you honestly whether AI is the right tool for it.
Start a projectMore case studies
Community networking platform
AI-Driven Content Categorization & Onboarding
Whisper-powered voice onboarding and category matching cut a two-minute manual flow down to about a minute.
Read the case studySenior living platform
AI Health Monitoring for Elderly Care
Non-intrusive monitoring, personalized alerts and an AI chat layer, built to qualify for RPM/RTM reimbursement, not just look good in a demo.
Read the case study