OCR.Space Free OCR API
python pdf
Onlineocr.net
Kofax Omnipage
ABBYY Cloud OCR SDK
i2OCR
Free Easy OCR
Free-OCR.com
DocParser
Docsumo
Nanonets
Parseur.com
Invoice Data Extraction
Nanonets OCR
Free Online OCR [Docsumo]
DocuClipper
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Based on our record, DocParser should be more popular than OCR.Space Free OCR API. It has been mentiond 14 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.
We scan everything with ocr functionallity by an office all-in one printer by canon. So a big portion of the files will be searchable anyways. The rest of the files can be uploaded to https://ocr.space/ocrapi. To extract the text in a filemaker textfield I use the MBS Plugin which is highly recommended anyway with the following call: MBS( "PDFKit.GetPDFText"; MEDIEN::Container_m ). Source: almost 3 years ago
Are you okay with paying for APIs? If so fair enough: https://ocr.space/ocrapi or browse https://rapidapi.com/marketplace for a good OCR API. As far as I know the only way to do it within python is with tesseract, which you could look into. Here's a resource on dealing with the PDF part. Source: almost 4 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 2 years 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 2 years 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 2 years 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 2 years 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 2 years ago
python pdf - In this step-by-step tutorial, you'll learn how to work with a PDF in Python. You'll see how to extract metadata from preexisting PDFs . You'll also learn how to merge, split, watermark, and rotate pages in PDFs using Python and PyPDF2.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Onlineocr.net - Free Online OCR service allows you to convert PDF document to MS Word file, scanned images to editable text formats and extract text from JPEG/TIFF/BMP files
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Kofax Omnipage - Premium OCR software by Kofax. Turn paper, PDFs and images into valuable digital files to maximize productivity with OmniPage.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
