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DocParser might be a bit more popular than Dangerzone. We know about 14 links to it since March 2021 and only 12 links to Dangerzone. 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.
Start here: https://github.com/freedomofpress/dangerzone I've never used it, but I've been meaning to check it out. At least it should give you a jumping off point for further investigation. If that is insufficient, use proofpoint. For archives that are tickling bugs, you have to use a similar technique. it's not enough to analyze them and send them on... - Source: Hacker News / 8 months ago
I've read about the concept of "trusted PDFs" [1] from Qubes OS and the Dangerzone project [2]. I noticed people saying they use such tools to open applicant attachments in the context of employee hiring processes. Isn't it simpler to just open these untrusted files in a cloud service like Google Drive or Microsoft Office online? [1]... - Source: Hacker News / 10 months ago
You can use something similar on macOS, Windows or Linux, based on Docker containers, see Dangerzone: https://github.com/freedomofpress/dangerzone. - Source: Hacker News / 10 months ago
Https://github.com/freedomofpress/dangerzone has been a great tool to use as an added layer of defense. Definitely check out this users other projects as you can tell by the users name that they are made for journalists. Source: about 1 year ago
This is exactly what DangerZone is built for. Takes ‘dangerous’ PDFs, converts them to images and back (via OCR) so there’s nothing potentially harmful inside. Does all the conversion inside docker containers so there’s little chance of a sandbox escape or network access. Source: about 1 year ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 10 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: 12 months 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: about 1 year ago
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ConvertOnMac - ConvertOnMac is the best free online converter for every Mac user that supports more than 500 different file formats.
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.
ConvertHelper.net - Among the best free online converters, ConvertHelper is the one that has many premium features.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.