Work · alternatives · 2026
24 alternatives to DataSieve 2.0
Extract structured data from text, files and archives.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Docparser helps you extract important data from Word, PDF, CSV, XLS, TXT, XML, and image files. Send to Excel, Google Sheets, and 100s of apps.
2016 · docparser.com · its alternatives →
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Parsers▲300Extract structured data and visualize it without code
2019 · parsers.me · its alternatives →
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Parsio 2.0▲153Automate data extraction with AI-powered document parser
2023 · parsio.io · its alternatives →
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Transform unstructured data into actionable data, instantly
2024 · portday.com · its alternatives →
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Batch extract structured data from unstructured sources.
2025 · extractany.com · its alternatives →
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Extract data from emails. Automate your workflow.
2016 · mailparser.io · its alternatives →
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Turn any website into an API (for those who miss Kimono)free tier, from $19/mo▲332Web scraping made simple — extract data with our free Chrome extension and powerful cloud platform. Turn websites into structured data at scale, via dashboard or API.
2019 · simplescraper.io · its alternatives →
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PDF Dino▲155Extract structured tables from messy PDFs using AI. Export to Excel, CSV, or JSON. Try 20 pages free—no credit card needed.
2025 · pdfdino.com · its alternatives →
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Docparser▲194Convert PDFs and scanned documents into structured data
2016 · docparser.com · its alternatives →
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Turn any webpage into structured data using LLMs. Contribute to mishushakov/llm-scraper development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Myparser AI▲25Extract structured data from documents in minutes
2025 · myparser.ai · its alternatives →
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Data Extraction▲103Extract Data from Images Minimizing Time and Manual Work
2023 · dataextraction.co · its alternatives →
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We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com · its alternatives →
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extracts exactly the data you ask for emails, PDFs, etc
Jun 2026 · noima.io · its alternatives →
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Drag, drop, extract. PDF tables to Excel in seconds.
Apr 2026 · dataextractio.com · its alternatives →
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Analyze website data in seconds with downloadable outputs
2025 · share.streamlit.io · its alternatives →
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I built ReadyData to remove the pain of manual data extraction. You can upload documents, images, audio, or videos, and get clean, structured data you can actually work with — instead of copy-pasting for hours. I’m using it myself for invoices, statements, and messy files that don’t fit traditional parsers. Would love feedback from the HN community.
Jan 2026 · readydata.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →