Tools
Everything here is meant to leave with you. Run a tool in the page, copy a prompt, or load an adapter onto the model already running on your machine.
Convert
Convert an image between PNG, JPEG, WebP and AVIF. The file never leaves the page — it is a canvas here, and Pillow in Python.
- format png, jpeg, webp or avif
- quality 1-100 for the lossy formats
- three doors web page, assistant, or thl tool convert
Converters
The everyday conversions, all in one tab: tabular data, encodings, naming conventions, units, number bases, colour spaces, timestamps and image scaling.
- data CSV, TSV, JSON, JSONL, Markdown, HTML tables
- quantities nine unit categories, bases 2-36, colour, time
- says no video, audio and PDF need a server — so they are absent
Extract
Documents to Markdown with the structure still attached. Headings stay headings and pages stay marked, because that is what the next stage splits on.
- unaided text, markdown, html and csv, right here
- with the package pdf, word, slides, sheets, epub
- never invented no outline means no headings
Chunk
Split a document along its own headings rather than every 512th character. Size is the constraint, not the organising principle.
- citable every chunk knows its heading and page
- jsonl one record per line, greppable and streamable
- in the tab pure logic, nothing to install
Tokenize
How big is this, and what will it cost to embed? A measuring instrument — not a stage, because embedding models tokenize internally with their own vocabulary.
- distribution median, 95th, and the long tail
- overflow which pieces would be truncated silently
- three counters exact, OpenAI, or no download at all
Embed
Chunks to vectors on your own machine. BGE-M3 at 1024 dimensions, or MiniLM at 384 when speed matters more than reach.
- normalised cosine and dot product agree
- one file a single .npy, not one per chunk
- python only the model is too large for a tab
Index
A portable vector database you own, as Chroma or plain numpy, carrying everything needed to reopen it later.
- self-describing records the model and its dimensions
- query snippet written alongside, usable immediately
- no pickle which is why FAISS is not offered
Prompts
A prompt library for real use cases. Copy one and paste it into whatever model you already run.
- filtered by the job you are doing
- one click copy straight to clipboard
- model agnostic works with anything local
LoRA Adapters
Small fine-tuned adapters that stack onto a base model already installed on your machine.
- stackable sits on a model you already have
- local no hosted inference anywhere
- status in training, none downloadable yet
Gen AI
The generative bench. Two tools at two different stages, with the difference written on each rather than left to be discovered.
- video → image finished; frames pulled in the tab
- image → HTML partial; measurements yes, layout no
- why partial layout inference needs a model we do not ship yet
Small Models
Nine small language models, each tuned for one posture: your documents, your tools, your data, or you.
- document-first answers out of your files, or not at all
- tools-first emits a validated call, not prose
- personal-first fits a laptop with no GPU