Today we are launching unblob.ai.
AI is already very good at reasoning once it gets the right input. The harder part is getting content into a shape that AI can reliably understand.
Most web pages and files are noisy. They include navigation, duplicated sections, boilerplate, layout fragments, and broken structure. Teams often spend too much time cleaning all of that up before a model can do anything useful.
We built unblob.ai to remove that work.
Why we built unblob.ai
Many teams want to use AI on the content they already have: help center articles, product docs, PDFs, reports, invoices, and public web pages.
But the content usually arrives in the wrong form.
Raw HTML is too verbose. Copy-paste loses structure. Simple scraping keeps too much noise. Plain text extraction often removes the very signals that help a model understand what matters.
That creates a familiar problem: you have the content, you have the model, but you still do not get reliable results.
unblob.ai exists to bridge that gap.
What problem it solves
unblob.ai takes a URL or a file and turns it into cleaner, more usable output.
The goal is simple: keep the main content, preserve the structure, and remove the clutter.
That means:
- less boilerplate in the final input
- clearer markdown and structured data
- less manual cleanup before summarization, indexing, or extraction
- one consistent pipeline for both web pages and files
Instead of building and maintaining your own cleanup layer, you can start from output that is already much closer to what downstream AI systems need.
What you can do with it
You can use unblob.ai to turn pages into markdown for RAG pipelines, extract files into structured output, and understand documents faster with explain.
You can also plug it into your own stack through the API, SDKs, or MCP clients for editor workflows.
The important part is not just that content gets extracted. It is that the output becomes easier to trust, easier to inspect, and easier to pass into the next step.
What comes next
This launch is the beginning.
We will keep improving extraction quality, expand coverage across more real-world file and page types, and publish practical notes about how to get better AI-ready content from messy sources.
If your workflow starts with, "first we need to clean this up," unblob.ai is built for you.