OCR.space
Tesseract
ABBYY FineReader
Smart OCR
Onlineocr.net
Ocr.best
Free OCR to Word
Capture2text
DocParser
Amazon Textract
FlexiCapture
Docsumo
Parseur.com
ABBYY FineReader
Workfusion Intelligent Automation Cloud
IBM Datacap
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Based on our record, OCR.space should be more popular than DocParser. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OCR.Space — An OCR API parses image and pdf files that return the text results in JSON format. Twenty-five thousand requests per month are free. - Source: dev.to / 4 months ago
OCR works pretty good. ocr.space, ocr.best and cotrans.touhou.ai/ are all pretty nice. Source: 9 months ago
Anyway, this title "Opera" has an interview dotted in between the "Acts" of the photobook, so I thought I'd try my hand at translating it. I've scanned the interview pages in greyscale mode, cleaned them up in photoshop, cropped them, and passed them through an online OCR (http://ocr.space/). I then asked ChatGPT4 to translate the Japanese text. Source: about 1 year ago
Oh if the test itself is just on paper and not digitized you can take pictures then use https://ocr.space/ to scan all the text off it then bring it over to GPT for a spelling correction after then grade them from there. Wouldnt work for writing assignments though since it would fix any spelling/grammar mistakes that were originally there. Source: about 1 year ago
That is a good idea. If you don't have a text, there are ways to convert pictures into text, here for example. Source: about 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 11 months ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: almost 1 year ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: about 1 year ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: about 1 year ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 1 year ago
Tesseract - Tesseract is an optical character recognition engine for various operating systems
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Smart OCR - Shrewd OCR is the brand new way to deal with a lot of paper work.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.