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James Ravenscroft 2024-11-03 15:15:32 +00:00
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--- ---
title: "Simplified Handwriting OCR with AnnoMemo" date: 2024-11-03 15:11:22+00:00
date: 2024-11-03T15:11:22Z
draft: false
description: short summary description: short summary
url: /2024/11/3/03-annomemo-telegram-bot draft: false
type: posts
mp-syndicate-to: mp-syndicate-to:
- https://brid.gy/publish/mastodon - https://brid.gy/publish/mastodon
- https://brid.gy/publish/twitter - https://brid.gy/publish/twitter
preview: /social/5bd70d94e7878eff876db94c35f6885650dd021de239a952395c1de0bf1e4e4e.png
tags: tags:
- post - post
- ai - ai
- llms - llms
- nlp - nlp
- python - python
- softeng - softeng
title: Simplified Handwriting OCR with AnnoMemo
type: posts
url: /2024/11/3/03-annomemo-telegram-bot
--- ---
Earlier this year [I wrote about using VLM models to do OCR on my terribly scribbly hand writing](https://brainsteam.co.uk/2024/04/02/finding-the-best-ai-powered-handwriting-ocr/). Models like GPT-4o are actually quite good at interpreting my rubbish writing and converting it to markdown. However, my workflow for using these models was a bit fiddly. Earlier this year [I wrote about using VLM models to do OCR on my terribly scribbly hand writing](https://brainsteam.co.uk/2024/04/02/finding-the-best-ai-powered-handwriting-ocr/). Models like GPT-4o are actually quite good at interpreting my rubbish writing and converting it to markdown. However, my workflow for using these models was a bit fiddly.