fileForensics - Real or not? Check files before your AI trusts them.
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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.
Replies
Curious to use this on my next project, may I know what file types does the product supports?
@primaulia1 PDF, Word, Excel, PowerPoint and images including HEIC and WebP. GIF and XLSM aren't accepted.
@shubhanshi_jangid1 Are there additional restrictions on the file uploaded? How about password-protected files? Are there file size limits too?
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?
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.
@jacky_moi Great question, Jacky, and finance is one of the use cases we’re most excited about! fileForensics checks for visual tampering and for details that contradict each other within a document. Those are exactly the signals behind a changed amount or swapped bank details on an invoice or payment proof. Because it runs before the document is accepted, it fits right before the approval step. You can explore the integration options here: https://developer.file.ai. Happy to chat more about your workflow!
@shubhanshi_jangid1 Sounds like a very useful tool to prevent invoice fraud and highlight any changes made to payment details. It would be interesting to see how this could work within our current finance processes and how we could implement it. Thanks for providing this resource!
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?
@olia_nemirovski Great question, Olia! Yes, it still works on scans, just differently. Native PDFs give us file history and metadata. On scans we look at the image itself: patches where the quality doesn’t match the rest of the page (like a pasted-in stamp), mismatched fonts or alignment, and details that don’t add up. Every finding shows where and why.
Honest caveat: each re-scan wipes out some evidence, so heavily re-scanned copies give weaker signals. Happy to run a few of your apostilled certificates if you’d like to see it in action!
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!
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!
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?
@aashaletchumy
Hi Aasha, it works with PDF, Word, Excel, PowerPoint and images including HEIC and WebP. GIF and XLSM aren't currently accepted.
@aashaletchumy
Some checks only apply to certain formats and report skip on the rest. Password-protected Office files are skipped for example.
@jason_williamson_fileai Noted with thanks
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
Just want to know, can it spot a handwritten change on a scanned form?
Heard you guys have done a pretty good job in this front. What are the data points it checks on?