Agnos cleans PDFs, Word, Excel, PowerPoint and web pages before they go into an AI chatbot, a RAG knowledge base or training data. It removes repeated headers and footers, page numbers, cookie banners, boilerplate and duplicates, and keeps tables, code and numbers. It names the rule behind every removal; keep a piece or switch its rule off. Exports JSONL chunks, cleaned text or training data. Runs on your Windows PC; nothing is uploaded. From the Microsoft Store: 14 days free, then $99 once.
Hi Product Hunt. I'm Michael, and I make Agnos at Gidion.
I built it after watching chatbots quote page footers back at their users. Company documents are full of text that confuses AI: the same header and footer on every page, "Page 3 of 10", cookie banners saved with web pages, duplicate passages. It all gets chunked and retrieved like real content.
Agnos takes that out on your own Windows PC (nothing is uploaded, and it works with the network off) and keeps headings, tables, code and numbers. The part I care about most: it never removes anything silently. Review lists what it removed, with the rule behind each piece. You can keep a piece in one click where its rule allows, or switch the rule off. Then it exports JSONL chunks for a vector store, cleaned documents, or training data.
It installs from the Microsoft Store. Honest limits: Windows 10 and 11 only, and no OCR, so scanned pages are skipped and named rather than cleaned badly.
Pricing: 14 days free with everything, no card and no account. Then $99 once, or $399 once for up to five people at one company. No subscription.
It's for people building chatbots, RAG or custom GPTs on real company documents, especially for clients whose files can't go to one more cloud service.
Before launch I measured 25 US government PDFs (1,342 pages). Agnos removed 2,063 lines as page furniture, and 200 of them look like content to us. The method, the data and what it got wrong: https://agnos.cloud/guides/page-furniture-study/
What does your document cleanup look like today? I'd love to hear what Agnos gets wrong on your files.
About Agnos on Product Hunt
“Clean documents for AI, and see what was removed”
Agnos launched on Product Hunt on October 31st, 2026 and earned 74 upvotes and 3 comments, placing #17 on the daily leaderboard. Agnos cleans PDFs, Word, Excel, PowerPoint and web pages before they go into an AI chatbot, a RAG knowledge base or training data. It removes repeated headers and footers, page numbers, cookie banners, boilerplate and duplicates, and keeps tables, code and numbers. It names the rule behind every removal; keep a piece or switch its rule off. Exports JSONL chunks, cleaned text or training data. Runs on your Windows PC; nothing is uploaded. From the Microsoft Store: 14 days free, then $99 once.
On the analytics side, Agnos competes within Privacy, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Agnos performed against the three products that launched closest to it on the same day.
Who hunted Agnos?
Agnos was hunted by Michael Shadpour. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Agnos including community comment highlights and product details, visit the product overview.
Michael Shadpour
Hi Product Hunt. I'm Michael, and I make Agnos at Gidion.
I built it after watching chatbots quote page footers back at their users. Company documents are full of text that confuses AI: the same header and footer on every page, "Page 3 of 10", cookie banners saved with web pages, duplicate passages. It all gets chunked and retrieved like real content.
Agnos takes that out on your own Windows PC (nothing is uploaded, and it works with the network off) and keeps headings, tables, code and numbers. The part I care about most: it never removes anything silently. Review lists what it removed, with the rule behind each piece. You can keep a piece in one click where its rule allows, or switch the rule off. Then it exports JSONL chunks for a vector store, cleaned documents, or training data.
It installs from the Microsoft Store. Honest limits: Windows 10 and 11 only, and no OCR, so scanned pages are skipped and named rather than cleaned badly.
Pricing: 14 days free with everything, no card and no account. Then $99 once, or $399 once for up to five people at one company. No subscription.
It's for people building chatbots, RAG or custom GPTs on real company documents, especially for clients whose files can't go to one more cloud service.
Before launch I measured 25 US government PDFs (1,342 pages). Agnos removed 2,063 lines as page furniture, and 200 of them look like content to us. The method, the data and what it got wrong: https://agnos.cloud/guides/page-furniture-study/
What does your document cleanup look like today? I'd love to hear what Agnos gets wrong on your files.