Extract Text from Document Image
Supports (TIF, JPEG, PNG, BMP, GIF, PBM, PGM, PPM)
33 Languages (English, French, Italian, Chinese, +more)
Supports Multi-column Document
Unlimited Uploads
No Registration, No Email

Free-OCR.com is a free online OCR (Optical Character Recognition) tool. You can use this service to extract text from any image you supply.
This service is free, no registration necessary. We also do not need your email address.
Just upload your image files. Free-OCR takes either a JPG, GIF, TIFF BMP or PDF (only first page).
The only restriction is that the images must not be larger than 2MB, no wider or higher than 5000 pixels and there is a limit of 10 image uploads per hour.

Free-OCR can handle images with multi-column text and also supports more languages: Bulgarian, Catalan, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovene, Spanish, Swedish, Tagalog, Turkish, Ukrainian, Vietnamese.

Word Lens is the most impressive commercially available example of the stunning potential for augmented reality—software applications that overlay computer-­generated imagery on representations of the real world.

What we need are collections in the 5,000 – 500,000 volume range, cleaned up to at least (say) 95% recall and 99% precision. Precision is more important than recall, because false negatives drop out of many kinds of analysis — as long as they’re randomly distributed (i.e. you can’t just ignore the f/s problem in the 18c). Collections of that kind are going to generate insights that we can’t glimpse as individual readers. They’ll be especially valuable once we enrich the metadata with information about (for instance) genre, gender, and nationality. I’m not confident that we can crowdsource OCR correction (it’s an awful lot of work), but I am confident that we could crowdsource some light enrichment of metadata.