31–40 of 74 posts
I still prefer the Dropbox solution for that, but I'm waiting them transforming into an API.
If this can get me tables out of pdf's generated by crystal reports it would be a godsend for testing. This has been a nightmare to try and solve, the best option so far has been adobe cloud but they don't offer an API for that. I'm excited to try it out.
How about https://ocr.space/tablerecognition It returns table data line by line.
Found some interesting tidbits in their FAQ [0]: "Q: What type of text can Amazon Textract detect and extract? A: Amazon Textract can detect Latin-script characters from the standard English alphabet and ASCII symbols." So, English only. But very worryingly is that they're going to keep your companies' documents: "Q. Are document and image inputs processed by Amazon Textract stored, and how are they used by AWS? A: A…
For my employer's use case, the data storage and privacy implications are a non-starter.
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Have you tried e.g. https://tabula.technology , https://pdftables.com , https://pypi.org/project/Camelot/ ?
https://pdftables.com failed the test file, pretty good but inconsistent interpretation across rows, sometimes it split the cell, sometimes it did not. Tabula failed to detect multi-line rows, after manually changing the table it did do better than pdftables.com on splitting cells. Both failed the non-printable whitespace characters that created garbled outputs in the excel. The other one would take some time to rig…
If nothing works for you and you're comfortable with sharing an example file, you can send it to me and I could take a look.
Found some interesting tidbits in their FAQ [0]: "Q: What type of text can Amazon Textract detect and extract? A: Amazon Textract can detect Latin-script characters from the standard English alphabet and ASCII symbols." So, English only. But very worryingly is that they're going to keep your companies' documents: "Q. Are document and image inputs processed by Amazon Textract stored, and how are they used by AWS? A: A…
Think less about books, and more about automating input from forms filled out by hand. In working with this tech, I can say that none of it is great and it would be very nice to be able to ditch what's available for stuff that would work better. For my employer's use case, the data storage and privacy implications are a non-starter.
This plays so well with the theory of AWS taking a slice of all web activity. They are commoditising more and more complex tasks and enabling huge number of engineers to bootstrap their idea with amazing tech from day 1. A huge jump from S3/EC2 to this. Commendable.
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This is an Evernote feature. Dropbox also launched this feature.
Evernote is an interesting case. They store every word that MAY be in the scanned document. So their OCR engine will find a lot of legitimate words, but it will also find a lot of words that don't sense too. When putting in a term for searching, it looks at the entire index (both legit words and the garbage) and returns you the documents that match. I think it's quite clever. Bear in mind that this feature was many y…
1. make "strings" api 2. hook it to a web server 3. profit!