fileForensics is a trust check for every file your app or agent acts on. Extraction tells you what a document says; fileForensics tells you whether to believe it. It looks for signs of editing, AI-generated content, tampering and details that don’t add up, then returns findings with the evidence: what, where and why. No black-box score. All delivered in one call and works via API, MCP (Claude, Cursor, Codex), the developer portal and the fileAI platform. Check the file before you trust the data.
I've followed fileAI since I first hunted them last year, and this launch tackles a problem I think every team building with agents is about to run into.
Your extraction can be perfect and still be wrong, because the file you extracted from was edited.
What I like most is that it doesn't ask you to trust a score.
Every finding comes with the evidence behind it, so a developer or a reviewer can look at it and decide for themselves.
The first thing I'd test is a stack of my own receipts and invoices, with one quietly edited, just to see if it gets caught. If you try that, please share what happened in the comments, especially if it flags a file you know is genuine. The team says false positives are the feedback they care about most.
Jason's maker comment below has the full story of why they built it.
Hi Product Hunt 👋 I’m Jason, I head up everything Marketing & Partnerships at fileAI.
An accurate extraction of an edited invoice is still an edited invoice.
Why we built fileForensics
For five years we’ve turned messy files into clean data for insurers, banks, finance teams, builders over a billion files so far. In almost every rollout, once extraction went live, someone asked: “But what if the file is fraudulent?” We had no good answer, yet the stakes are high for so many industries with fraud, especially AI-enabled fraud, on the rise. Making a convincing edit used to take skill, and now it takes a free app or one prompt. Meanwhile, more documents are being read by AI agents that act on them with nobody checking first.
The tools that could answer the question were sales-gated, priced for large enterprises and separate from extraction. If you were a startup with an upload step, or a developer wiring files into an agent, your options were ExifTool scripts or nothing.
So we built fileForensics. It checks a file’s structure, metadata, edit history and pixels across eight disciplines, then shows you the evidence for each finding: what it found, where in the file, and why.
You can try it in our developer playground, call it through the API, or ask Claude or Cursor about a file through MCP. And with our new AWS Strategic Collaboration Agreement, we're available through AWS Marketplace, built on Amazon Bedrock. https://www.file.ai/blog/fileai-signs-strategic-collaboration-agreement-with-aws
The feedback that would help most
Try it on your own files. Did a finding surprise you, or did it miss something you expected it to catch?
False positives. If it flagged a genuine file, please tell us. We care about this more than anything else.
This looks really useful. If you have any benchmark numbers you can share, I’d love to see them. The catch rate and false positive rate by document type would be the first thing I’d look at, since that’s what would help me understand how well it actually performs.
Great to see fileForensics launch!
Having worked on a number of customer solutions involving document processing and automation, I can definitely see the value in being able to detect potentially altered or fraudulent documents before trusting the information extracted from them. This has applications across so many industries, particularly financial services, insurance, healthcare, and other document-intensive enterprises.
Some quick questions for the product team:
- We process tens of thousands of documents a day, are there any rate limits?
- Are there any batch processing options?
Congrats to everyone involved in the launch!
scans are my worry here. at the immigration firm I work at, certificates come with stamps and apostilles and often get re-scanned. does the tampering check still say something useful on a scan, or is it mostly for native PDFs?
Excited to see this live! Love that it actually shows why a file looks suspicious instead of just giving you a score. Great work!
PM at fileAI here! Proud of what our team has shipped and cheering this launch on but I want to raise a question that we heard a lot from teams evaluating this: "Does it read C2PA content credentials? Most files I see don't carry them"
Would love for our makers to share the knowledge!
Just used this in CODEX and it worked like a charm, great job team @fileAI
I just tried the product .
I must say experience was pretty smooth it was able to generate me results in couple of seconds
I uploaded my tampered car picture and definitely it gave me some value able insights on the upload
I had some question
1.does this catch hidden texts or prompt injection in pdfs aimed at agents
2.Also does do we support excel files for fraud detection?
Hey guys, congrats on the launch! I work at fileAI and wanted to ask how is this different from Reducto or LlamaParse for extraction, why would I add this then?
Hi team, first of all congratulations! I work at fileAI and have a question - how does this compare with other tools like Resistant AI, Inscribe, or Veryfi? Apparently they have been tackling document fraud for years.
I can see my iPhone photo metadata when I take a photo with it. When I'm using fileForensics, will the metadata be lost if someone edits a document, prints it or photographs it?
Hey team! I'm on the fileAI sales team but I have a question about pricing - what's actually free, and what does it cost once that actually runs out?
Ohhh, this is interesting. Just curious, how much work is this to add to an file/doc upload flow? Is it synchronous? or do I need a queue?
good work and cheer
Well done on the launch! On the admin side and finance side we deal with many invoices, receipts, payment confirmations and supporting documents each month. Can the fileForensics tool help the Finance team detect any small amendments to the value of invoices, bank details or payment details prior to pay? How easy is it to add into our current finance approval process? Would be interested to hear how realistic this would be for our finance team.
This is truly gems! The new trend is getting AI to create AI agent. FileAI is using AI to investigate AI ! Amazing~
Showing where a file looks unusual is more useful than a bare warning. I'd want the reviewer to be able to inspect that evidence and distinguish an ordinary edit from something that needs investigation.
Hey everyone! I am in the sales team with fileAI! Just a quick question… When using this product, do I get an explanation or just a number?
What I find unhelpful is when it just says 87% AI. It never helped me decide anything.
About fileForensics on Product Hunt
“Real or not? Check files before your AI trusts them.”
fileForensics launched on Product Hunt on November 4th, 2026 and earned 104 upvotes and 64 comments, placing #9 on the daily leaderboard. fileForensics is a trust check for every file your app or agent acts on. Extraction tells you what a document says; fileForensics tells you whether to believe it. It looks for signs of editing, AI-generated content, tampering and details that don’t add up, then returns findings with the evidence: what, where and why. No black-box score. All delivered in one call and works via API, MCP (Claude, Cursor, Codex), the developer portal and the fileAI platform. Check the file before you trust the data.
fileForensics was featured in API (98.8k followers), Fintech (47.7k followers) and Developer Tools (522.4k followers) on Product Hunt. Together, these topics include over 126.2k products, making this a competitive space to launch in.
Who hunted fileForensics?
fileForensics was hunted by KP. 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.
Want to see how fileForensics stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
KP
Hey PH community 👋
Excited to hunt fileForensics by fileAI today.
I've followed fileAI since I first hunted them last year, and this launch tackles a problem I think every team building with agents is about to run into.
Your extraction can be perfect and still be wrong, because the file you extracted from was edited.
What I like most is that it doesn't ask you to trust a score.
Every finding comes with the evidence behind it, so a developer or a reviewer can look at it and decide for themselves.
The first thing I'd test is a stack of my own receipts and invoices, with one quietly edited, just to see if it gets caught. If you try that, please share what happened in the comments, especially if it flags a file you know is genuine. The team says false positives are the feedback they care about most.
Jason's maker comment below has the full story of why they built it.
Try it free at https://www.file.ai/fileforensics?ref=producthunt
Give it a spin on your own files and let the team know what fileForensics catches 🚀