this post was submitted on 05 Feb 2026
712 points (99.2% liked)
Technology
80859 readers
3463 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
OCR is mostly good enough. Problem here is we have 76 pages that we need to be read perfectly, with a low fidelity input
We also have very little in the way of error correction, since it's mostly not human readable
This is the main point.
Most well working OCR systems have a dictionary-check pass, which goes a long way into fixing the errors.
On the other hand, if all those files are the same font and size, it should be possible to tune the OCR to better match the requirements. Also reduce the possibilities to the character set used by the encoding.
I was recently using OCR for an unrelated project and it was totally unusable as is, because unlike what it expected (plain text documents), it got text on top of pictures. So now I have to find ways to preprocess and single out the text, removing the graphic lines that might be behind it, to make it readable.