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Mistral OCR

mistral.ai

121–130 of 450 posts

Re: Mistral OCR

#123
It will be interesting to see how all the companies in the document processing space adapt as OCR becomes a commodity.

The best products will be defined by everything "non-AI", like UX, performance and reliability at scale, and human-in-the loop feedback for domain experts.

Re: Mistral OCR

#124

Co-founder of doctly.ai here (OCR tool) I love mistral and what they do. I got really excited about this, but a little disappointed after my first few tests. I tried a complex table that we use as a first test of any new model, and Mistral OCR decided the entire table should just be extracted as an 'image' and returned this markdown: ``` ![img-0.jpeg](img-0.jpeg) ``` I'll keep testing, but so far, very disappointing…

If you have a judge system, and Mistral performs well on other tests, wouldn't you want to include it so if it scores the highest by your judges ranking it would select the most accurate result? Or are you saying that mistral's image markdown would score higher on your judge score?

We'll definitely be doing more tests, but the results I got on the complex tests would result in a lower score and might not be worth the extra cost of the judgement itself.

In our current setup Gemini wins most often. We enter multiple generations from each model into the 'tournament', sometimes one generation from gemini could be at the top while another in the bottom, for the same tournament.

Re: Mistral OCR

#125

Related, does anyone know of an app that can read gauges from an image and log the number to influx? I have a solar power meter in my crawlspace, it is inconvenient to go down there. I want to point an old phone at it and log it so I can check it easily. The gauge is digital and looks like this: https://www.pvh2o.com/solarShed/firstPower.jpg

Gemini Free Tier would surely work

Re: Mistral OCR

#127

Earlier quoted context omitted.

From my testing so far, it seems it's super fast and responded synchronously. But it decided that the entire page is an image and returned `![img-0.jpeg](img-0.jpeg)` with coordinates in the metadata for the image, which is the entire page. Our tool, doctly.ai is much slower and async, but much more accurate and gets you the content itself as an markdown.

I thought we stopped -ly company names ~8 years ago?

if you talk to people gen-x and older, you still need .com domains

for all those people that aren't just clicking on a link on their social media feed, chat group, or targeted ad

Re: Mistral OCR

#128
post #126

Tried with a few historical handwritten German documents, accuracy was abysmal.

Probably they are overfitting the benchmarks, since other users also complain of the low accuracy

Re: Mistral OCR

#129
I noticed on the Arabic example they lost a space after the first letter on the third to last line, can any native speakers confirm? (I only know enough Arabic to ask dumb questions like this, curious to learn more.)

Edit: it looks like they also added a vowel mark not present in the input on the line immediately after.

Edit2: here's a picture of what I'm talking about, the before/after: https://ibb.co/v6xcPMHv

Re: Mistral OCR

#130
post #126

Tried with a few historical handwritten German documents, accuracy was abysmal.

HTR ( Handwritten Text Recognition ) is a completely different space than OCR. What were you expecting exactly?
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