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launching our open source OCR tool today! try it out with some terrible pdfs and let me know how it goes:

342,717 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля Karthik Kannan
Karthik Kannan1 год назад

how are you dealing with hallucinations in the text if you're using GPT to OCR the text? while great for some use cases i've noticed hallucinations when it comes to dense text at scale. is there some benchmarks you're comparing against

Фото профиля Tyler Maran
Tyler Maran1 год назад

hey Karthik. we're working pretty hard on a benchmark right now. Noticed the same issues with dense text (sideway text too). It's one of the big steps we need to take as we start on a fine tuning dataset. I'll be sharing as we make progress!

Фото профиля Bryan Lee
Bryan Lee1 год назад

Waited a few minutes and nothing happened.

Фото профиля Tyler Maran
Tyler Maran1 год назад

hey Bryan! sorry got more traffic than we expected and we had to up our limits. should be good to go now!

Фото профиля Dan Manastireanu
Dan Manastireanu1 год назад

You should check out General OCR Theory, a specialized llm for OCR 2.0 Unfortunately, they don't have a gpt-4o benchmark for comparisson, but the results are pretty impressive

Фото профиля Daniel Tenner
Daniel Tenner1 год назад

@ycombinator I’m literally just about to implement structured document OCR for accounts, tax computations and other similar docs, for my biz’s internal CRM. I thought “oh great I’ll use this instead of Textract”. But I can’t because of the “book a demo” thing. And no pricing. 😕

Фото профиля Harshil Prajapati
Harshil Prajapati1 год назад

@ycombinator Make it open source

Фото профиля Tyler Maran
Tyler Maran1 год назад

@ycombinator ... it is open source 👆

Фото профиля Tom Osman 🐦‍⬛
Tom Osman 🐦‍⬛1 год назад

trying now with some different one's but doesn't seem to be working? Using Arc if that helps at all.

Фото профиля Tyler Maran
Tyler Maran1 год назад

we got a lot of traffic and had to up our limits! should be good to go now!

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