# Building a Fixed-Length CAPTCHA OCR Model With Multi-Head Classification Page: https://stenobird.com/podcast/futurism-tech-brief-by-hackernoon-6365656/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification Text version: https://stenobird.com/podcast/futurism-tech-brief-by-hackernoon-6365656/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification.md Podcast: [Futurism Tech Brief By HackerNoon](https://stenobird.com/podcast/futurism-tech-brief-by-hackernoon-6365656) Published: 2026-05-12T16:00:33+00:00 Episode link: https://share.transistor.fm/s/2ea61518 Audio file: https://media.transistor.fm/2ea61518/0b3416fe.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/futurism-tech-brief-by-hackernoon-6365656/episodes/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification Duration seconds: 986 ## Resource This story was originally published on HackerNoon at: https://hackernoon.com/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification . How a multi-head CNN with position embeddings achieved 100% accuracy on fixed-length CAPTCHA OCR without using CRNNs or CTC loss. Check more stories related to futurism at: https://hackernoon.com/c/futurism . You can also check exclusive content about #computer-vision , #captcha-ocr , #crnn , #ctc-loss , #ocr-architecture , #multi-head-classification , #position-embeddings , #deep-learning , and more. This story was written by: @genesys . Learn more about this writer by checking @genesys's about page, and for more stories, please visit hackernoon.com . This article documents the design of a lightweight OCR system built to solve fixed-length numeric CAPTCHAs for authorized internal automation workflows. Instead of using a standard CRNN + CTC architecture, the author built a shared CNN backbone with six independent classification heads and learnable position embeddings, achieving 100% held-out accuracy with roughly 4,000 training samples while improving training stability, inference speed, and debuggability ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/futurism-tech-brief-by-hackernoon-6365656/episodes/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/futurism-tech-brief-by-hackernoon-6365656/building-a-fixed-length-captcha-ocr-model-with-multi-head-classification.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.