fileAI gives developers structured, zero-shot data from any file. Built for LLMs and AI agents, our AI OCR transforms unstructured files into clean, enriched, and validated data, ready for downstream automation via configurable UI, API or MCP.
When we started fileAI, the bottleneck wasn’t AI — it was the messy, manual work still required to prepare data before AI could do anything useful.
We built fileAI to solve that: a way to extract, enrich, and verify structured data from files in a single call. No templates. No brittle rules. Just clean, fit-for-purpose output.
Our public API and platform combine a powerful classification engine with AI schema logic — so developers can parse any file, enrich them across systems, and get zero-shot cited, structured data ready to flow directly into agents, LLMs, or downstream automation.
What’s under the hood: Single-call data transformation — From raw file to clean, verified zero-shot output AI schemas — Customisable, enrich with cross-file context, Internet search, APIs, or MCP Built for LLMs — Output is structured, consistent, and orchestration-ready Trusted at scale — Used by KFC, Toshiba, MS&AD and 400M+ files processed Fast and flexible — Self-serve, pay-as-you-go, and zero setup required
This is the same infrastructure that powers enterprise automations in finance, insurance, logistics, and legal — now open to every developer. Can’t wait to see what you build with it.
Happy to answer any questions and hear your feedback!
How well does fileAI handle handwritten notes or signatures embedded within otherwise digital documents? Does it reliably extract and interpret them without losing context?
Our firm has been working closely with fileAI and we are incredibly excited to see its launch on Product Hunt. The team has done an outstanding job leveraging AI to transform what used to be tedious and error prone processes into something remarkably efficient and accurate.
fileAI is a game-changer for anyone dealing with documents as they allow users to automate workflows and save countless hours.
Last but no least, congratulations to the team on another impressive achievement!
Hey PH peeps!
We’d love you to put to the test how accurate our zero-shot output REALLY is…
Email your messiest/funkiest file to [email protected] and we’ll post a video of fileAI processing it, live!
We’ll be sharing the craziest files processed in the comments - so stay tuned!
The questions & comments have been amazing so far, we really appreciate the feedback! Now let’s have some fun with it 😄🚀
This is the kind of tool devs crave: fast, flexible file data processing without the usual hassle. So excited FileAI is live for everyone—great job!
Just checked out FileAI, automating and analyzing any file with AI is such a powerful and timely mission. With how much unstructured data businesses handle daily, this could save teams hours and reduce human error. I can see huge potential across sectors like legal, finance, and even content management. If you’re looking to get this in front of the right audience, I’d love to share a few ideas. This deserves more visibility!
Really interested in the citation and verification layer — how does that work in practice? Do you get traceable confidence scores or just a pass/fail?
Congrats on the launch team - what an awesome domain as well!
Perfect timing for our team going a finance overhaul and it looks like file.ai can help streamline our accounting!
Plus enterprise-grade compliance out of the box? Great stuff! Will be following.
Incredible to see a unified platform that automates complex file workflows across every department. How customizable are the AI schemas can we fine tune or extend them for unique field types or industry reports before scaling?
Congratulations on the launch @_clare_leighton! Impressive product
This is really cool - I was using OpenAI API for 10-K report analysis a bit ago but it wasn't super accurate. Looks like this is much better!
Congrats team, very impressive product!
I’m a big fan of quick proof of concepts plus strong scaling, and I like the focus on trust in the data.
It's nice seeing an AI company with a well thought out value prop and its own models, not just another GPT wrapper.
Though what happens when someone builds a better model?
Congrats on the launch! We're building something similar with RapidScan.AI, and totally relate to the pain of turning messy files into clean, structured data. Love how fileAI simplifies it all into a single API call — looks super solid 👏
This is exactly what developers need right now – powerful, flexible data extraction without the usual headaches. Excited to see fileAI open to everyone. Well done!
AI infrastructure has come a long way — but the input and data preparation layer is still one of the most underdeveloped problems in the stack.
We built fileAI to fix that — so dev teams don’t have to spend months stitching together brittle extraction tools, validating schemas, cleaning or fetching mechanisms just to get started.
This is our first public launch, and we’re excited to open up a system that’s already processed hundreds of millions of files for global enterprises — now available to anyone building with data and AI.
Can’t wait to hear your feedback and see what you create! 🙌
I’m Tim. I lead Product and Engineering at fileAI.
fileAI has been one of the most interesting real-world product challenges I’ve worked on: how to make raw files useful, fast — without forcing teams to build a Rube Goldberg machine.
We designed the platform so you can parse, enrich, and verify data from a file with a single API call — and give less-technical users the same power through a configurable UI. Whether you're automating workflows, building agent pipelines, or feeding LLMs, it’s built to flex with the edge cases that break most systems.
Now that it's open, I’m excited to see what others do with it — especially teams who’ve walked away from file processing projects before because it’s just too hard.
If you're exploring it for a project, I'd love your honest take — whether it's feedback on functionality, edge case behavior, or a feature you wish it had. Always looking to make it better for customer use cases.
Hey PH fam! 👋
I’m pumped to share fileAI with the global dev community today! 🚀
As someone who’s watched countless AI projects crash and burn, I can tell you the problem is NEVER the AI itself – it’s the soul-crushing data prep work that kills momentum before you even start.
We’ve all been there: spending 80% of our time wrestling with messy PDFs, inconsistent formats, and brittle extraction pipelines just to feed our models clean data. It’s the invisible productivity killer that no one talks about.
fileAI completely eliminates this pain.
Instead of building complex extraction pipelines for every file type, you get ONE API call that transforms any messy file into perfect, structured data ready for your LLMs and agents.
What makes fileAI a game-changer:
→ 28x more accurate than AWS, Google, and LlamaIndex
→ Zero-shot extraction (no templates or training needed)
→ Works with ANY file type out of the box
→ Enriches data with cross-file context and web search
→ Built for enterprise scale (trusted by KFC, Toshiba, MS&AD)
→ Self-serve with pay-as-you-go pricing
It’s honestly like having a data engineering team that never sleeps. The kind that turns your messiest files into production-ready datasets in seconds, not hours.
This is the same infrastructure powering enterprise automations in finance, insurance, and logistics – now available to every developer who’s tired of data prep hell.
Ready to turn your biggest AI blocker into your biggest advantage?
The team - Clare, Christian and Tim - are here to hear your feedback and answer any Qs! 🔥
