fileForensics

Real or not? Check files before your AI trusts them.

API

Fintech

Developer Tools

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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

1. Try it on your own files. Did a finding surprise you, or did it miss something you expected it to catch?

2. False positives. If it flagged a genuine file, please tell us. We care about this more than anything else.

We’re here all day answering questions. Sign up for free here: https://developer.file.ai/

Thank you for checking it out 🙏

FileAI can definitely help me out with some of my processes. Can you tell me what features FileAI has that can help me save time on data entry, pick up any errors and highlight any suspicious documents? Does it make everyday accounting tasks easier?

Helloo, may I know what's not working yet? and what should I not expect from this today?

Are there any free plans or discounted plans for school kids? This could be a great tool to teach them about spotting edited/tampered documents.

With all the AI stuff going on lately it's getting so hard to tell if an image or doc is actually real or not lol. really cool to see actual answer for this.

Showing where and why a file was flagged feels more useful than a single score. It also makes it easier to send uncertain cases for review.

I work in marketing at fileAI, and the most surprising thing people have told me today is how quickly the conversation has shifted from “Can AI read this document?” to “Can I actually trust the document in the first place?”

We’ve had some really interesting conversations around edited invoices, AI-generated documents, false positives, and what happens when the usual metadata evidence is no longer available.

@shubhanshi_jangid1 what happens if someone modifies a document metadata without changing it’s visible content ?

Heard you guys have done a pretty good job in this front. What are the data points it checks on?

I’ve been integrating a NetSuite account with the fileAI platform, so this one caught my eye. Can I choose which checks count toward a flag and set my own routing rules (auto-pass vs send to manual review, say), or is the verdict fixed?

how well does it do on non english documents? as a matter of fact, non english LLMs are not as advanced as its counterpart especially smaller region languages like Bahasa Malaysia (we only have ILMU launched year ago, August 2025).

curious if theres any running benchmarks

Had good chat with the team and was impressed! Just a quick question on its capability to filter documents and flag out for review: Does it kick out any document types? if yes, any examples?

Curious to use this on my next project, may I know what file types does the product supports?

fileAI fileforensics looks like a massive win for lab sciences. The ability to instantly surface hidden anomalies, verify file origins, and automate data integrity checks could save teams dozens of hours during audit prep. It essentially acts as an automated quality assurance layer for scientific data.

Questions for the team:

• Can it handle proprietary binary file formats from common lab instruments (like chromatography or mass spec software), or does it require conversion to standard formats like PDF/CSV first?

• How does it handle integration with existing LIMS (Laboratory Information Management Systems) or ELNs?

Excited to see where you take this. Definite upvote!

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!

Could this cut my extraction bill if I screen files before sending them to an LLM?

Disclosure: I work at fileAI, but still curious :)

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!