tesseract

How does it compare to Tesseract? https://github.com/tesseract-ocr/tesseract I use ocrmypdf (which uses Tesseract). Runs locally and is absolutely fantastic. https://ocrmypdf.readthedocs.io/en/latest/

https://www.home-assistant.io/integrations/seven_segments/ https://www.unix-ag.uni-kl.de/~auerswal/ssocr/ https://github.com/tesseract-ocr/tesseract https://community.home-assistant.io/t/ocr-on-camera-image-fo... https://www.google.com/search?q=home+assistant+ocr+integrati... https://www.google.com/search?q=esphome+ocr+sensor https://hackaday.com/2021/02/07/an-esp-will-read-your-meter-... ...start digging around and you'll likely find something. HA has integrations which can support writing to InfluxDB (local for sure, and you can probably configure it for a remote influxdb). You're looking at 1xRaspberry PI, 1xUSB Webcam, 1x"Power Management / humidity management / waterproof electrical box" to stuff it into, and then either YOLO and DIY to shoot over to your influxdb, or set up a Home Assistant and "attach" your frankenbox as some sort

Would like to know how this compares to https://github.com/tesseract-ocr/tesseract

Two possibilities are "top of mind" for me: You could script it using Gemini via the API[1]. Or use Tesseract[2]. [1]: https://ai.google.dev/ [2]: https://github.com/tesseract-ocr/tesseract

„OCR4all combines various open-source solutions to provide a fully automated workflow for automatic text recognition of historical printed (OCR) and handwritten (HTR) material.“ It seems to be based on OCR-D, which itself is based on - https://github.com/tesseract-ocr/tesseract - https://kraken.re/main/index.html - https://github.com/ocropus-archive/DUP-ocropy - https://github.com/Calamari-OCR/calamari See - https://ocr-d.de/en/models It seems to be an open-source alternative to https://www.transkribus.org/ ( which uses amongst others https://atr.pages.teklia.com/pylaia/pylaia/ ) Another alternative is https://escriptorium.inria.fr/ ( which uses kraken)

> If you're on Windows you should try the powertools OCR tool. Which is open source (MIT-licensed), the source code is here: https://github.com/microsoft/PowerToys/tree/main/src/modules... It is written in C#, and uses the Windows.Media.Ocr UWP API to do the actual OCR part: https://learn.microsoft.com/en-us/uwp/api/windows.media.ocr?... – so if your app runs on Windows it can potentially call the same API and get OCR for free Apple provides OCR through VisionKit ImageAnalyzer API – https://developer.apple.com/documentation/visionkit/imageana... – albeit that is only officially supported to call from Swift (although apparently you can expose it to Objective C if your write a "proxy Swift framework"–a custom Swift framework that wraps the original and adds @objc everywhere–I assume such a proxy framework could be autogenerated using reflec

Many of the free or cheap OCR services are based on the free, open-source Tesseract OCR. https://github.com/tesseract-ocr/tesseract/ Those services usually do not expose all of the options. If you’re handy with shell scripts or Python, you can probably get better performance by hand-tuning options for your particular images. For example, if I recall there are page segmentation options to tell Tesseract to expect multi-column text. That alone might get you better performance than the automatic mode.

I mean, I'd totally try Tesseract[1], a few samples, and a python script. Shouldn't take more than 5 minutes to validate this. Adobe also has the whole scan thing, and apple can — in some cases — correctly transcribe characters from images. https://github.com/tesseract-ocr/tesseract

i used open source solutions to built it, like libreoffice, ghostscript, google's tesseract and a bunch of other tools, Google's Tesseract: https://github.com/tesseract-ocr/tesseract

tesseract OCR is open source and very good. https://github.com/tesseract-ocr/tesseract

Last update was pretty recent, and the git mentions tesseract 5 as a dep. so it's likely moved on a bit from when you last tried it: https://github.com/tesseract-ocr/tesseract/releases I suppose it depends on your use-case. For personal tasks like this it should be more than sufficient, and won't need user details/cc or whatever to use it.

I've had good luck using Tesseract [0] for scanned PDFs. If you're not CLI-inclined, there are several GUIs for it available [1]. I have had good luck downloading scanned PDFs from archive.org and running them through Tesseract. Did not know about Calibre for this - I was relying on opening each search and searching it individually. [0]: https://github.com/tesseract-ocr/tesseract [1]: https://www.opait.com/tessstudio/

> Does android even have native OCR? Tesseract? https://github.com/tesseract-ocr/tesseract