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Document data extraction
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Featured matches
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Zhou🙏 16 karmaAug 28, 2023@AirparserVery unique document parser. Works extremely well even on complex PDF tables and emails -
Great platform! Very impressed by the ability to combine documents to generate full research reports or extract data in large PDF files. -
Extract data from any document automatically with AI.Open
The tool worked really well for us. It was easy to upload our first PDFs and set up an automated flow through the API -
docAnalyzer has been rebuilt around a bigger idea: you leave with files, not just an answer. When we first launched, docAnalyzer was a way to chat with your documents. Now the answer is the start. Ask across hundreds of sources and the workspace builds what you need out of that work: a report, a spreadsheet, a slide deck you can download and reuse. What’s new: - Chat to deliverable: compose answers into PDF, Word, Excel, slides, charts, and diagrams, and reuse any output in a later turn. - A workspace, not a chat box: outputs build across turns instead of resetting. - Workflows are now agentic: they run multiple rounds of search and read across your whole library instead of a single pass, with new ones added like SEO metadata and a Humanizer. - Three chat modes, one engine: a new Ask docAnalyzer mode plans and runs work across your whole workspace, alongside Focus chat (deep analysis on a chosen dataset) and Co-work chat (shape a draft in a canvas). - A rebuilt interface, with visibility into what the agent is doing while it works. If you knew docAnalyzer as “chat with your documents,” it is worth another look. The Community plan is free, and your first session is ready in about 30 seconds.
Verified tools
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Paying $300-$500/month for a docs site, as a small founder, is way too much. We've been looking for a simple, affordable, practically autonomous tool like Docsio for a while.
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AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users! - SponsorTaplio - Build a growth routine on LinkedIn
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tried quickdata on a stack of rent rolls (pdf+xls), a couple T12s and one chunky OM. setup's just an excel add in, super barebones ribbon button and it goes straight to work (no gimmicks). it mapped a lot of line items correctly and dumped them into my model fast. i like that it plugs into your existing model instead of forcing theirs. a clearer "why" for each auto category would be good.
Other tools
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Had several issues with app, beginning with a refresh needed to find the upload (figured out while waiting for help desk). Relatively straightforward conversion, rearranged fields, merged integer and text field. Conversion was Ok on first 30 lines and 2 pages, second 25 lines needed more manual editing. Was going to rate lower, tried Parseur was even worse.
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KlearStack is a great tool to extract documents that you process manually. We process many invoices from KlearStack and there's no human intervention required! Previously, we used to involve humans to do all these tasks! It's accuracy is far better than Nanonets and Docsumo! Try it out:)
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Good to use even for free. Gives answers related directly to the info in the document, along with references to pages where it can be found. Also does well at analyzing graphs and charts
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