
fileAI
Classify, extract, enrich, and validate any file
5.0•28 reviews•279 followers
Classify, extract, enrich, and validate any file
5.0•28 reviews•279 followers











279 followers
279 followers
fileAI is highly praised for its exceptional OCR capabilities, accurately handling various file types, including handwritten and multi-language documents. Users appreciate its ability to transform unstructured data into structured insights, significantly enhancing productivity and efficiency in workflows across finance, legal, and insurance sectors. The product manager highlights fileAI's ease of use, allowing users to extract insights without needing a data degree. Another maker review emphasizes the platform's MCP support and natural language prompting, enabling quick iterations and high-quality data extraction. Overall, fileAI is celebrated for its intuitive interface and robust performance.
fileAI
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!
Paddle
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! 🔥
@thisiskp_ Happy to see you on the leaderboard, KP! :)
Question for the makers: Say if a user's use case is accounting, how does fileAI handle exceptions, such as mismatched invoices or unusual ledger items?
fileAI
@thisiskp_ @rohanrecommends Hey Rohan, great question because exception handling is a tricky problem. The fileAI platform has the capability to group, match, and compare invoices to find exceptions or atypical items either via cross-file validation or validation against a set of pre-defined customer validations. Every business is different, so an "unusual ledger item" at accounting firm A my look very different than on at restaurant chain B. That's why we prioritize flexibility and control for our customers - and give them the freedom and flexibility to craft those validations with natural language prompting.
Bio Calls by Cross Paths
Congrats on the launch! How do you handle different file types?
fileAI
@heypaus Thanks for the question and for stopping by - we like to think we handle them pretty well! Image, PDF, Spreadsheets, Doc files and more all supported with a healthy backlog of multimodal files to support going forward.
Good luck with your upcoming launch, as well!
Bio Calls by Cross Paths
@tim_prugar Thank you so much!
Love your product, wish you all the best :))