Give DeepSeek eyes. Drop any screenshot and DeepSee turns it into exact text — every word, its pixel coordinates, colors, and spacing — so a text-only AI model can finally read your UI. 100% in your browser. Nothing is uploaded.
Drop a screenshot here or browse files
PNG · JPG · WebP — Decode any screen into readable text for DeepSeek & text-only AI models
Decoded text will appear here. The transcript includes every word, its exact screen coordinates, size, color, and spacing — so a text-only AI model can reason about your screenshot precisely.
What DeepSee does
DeepSee gives vision to text-only large language models. DeepSeek and local text-only models can't look at an image — so when they hit a screenshot they're flying blind. DeepSee bridges the gap: it decodes the image into structured text, and the model reads it back like normal prose.
Two lightweight on-device models work in concert to turn any screenshot into exact text — so a text-only model knows exactly what it's looking at:
- Reads every word — each line decoded with a confidence score, never guessed.
- Maps the layout — pixel analysis finds cards, buttons, inputs, and full-screen frames.
- Names each element — every box classified, its text pinned to exact coordinates.
- Builds the full picture — reading order, colors, alignment, and spacing rendered as indented text.
On top of the structure decode, the free MCP plugin adds a semantic
tagger (describe_screenshot):
it classifies the screen type — login page, dashboard, map, game, chart, and more — in milliseconds on CPU,
and says so when it's unsure instead of forcing a guess.
Because the pipeline is deterministic, the same screenshot always produces the same transcript — ideal for regression-testing how a model reads your UI. A free MCP plugin exposes the same engine to agent harnesses like Claude Code and Hermes, so any MCP-capable text-only model can call the decode tools automatically.
How to give DeepSeek eyes — step by step
Decode a screenshot to exact text in under a minute — then hand the transcript to any text-only model.
decode_screenshot automatically whenever it needs to look at a screen.Tips for best results
Frequently asked questions
What is DeepSee?
DeepSee is a free browser tool (and MCP plugin) that gives text-only AI models eyes. It decodes a screenshot into a structured transcript — every word with pixel coordinates, colors, spacing, and element types — so a model without vision can read what's on screen. It runs 100% locally with zero VRAM.
Does DeepSee work with DeepSeek?
Yes. In the browser you decode a screenshot, copy the transcript, and paste it into DeepSeek or any text-only model. With the MCP plugin, the model calls the decode tool automatically whenever it needs to see a screenshot.
Do my screenshots leave my computer?
No. Everything decodes locally in your browser with on-device OCR and computer-vision code. Nothing is uploaded, there's no cloud step, and no server — which is also why it needs zero VRAM.
Does DeepSee need a GPU?
No. Decoding is pure CPU: pixel analysis plus a lightweight on-device OCR engine.
Can DeepSee tell what kind of screen it is?
Yes. The optional describe_screenshot tool uses a small on-device classifier and labels the screen type — login page, dashboard, map, game, chart, and more — in milliseconds on CPU. If no label clears its confidence bar, it says so rather than guessing.
Is DeepSee free?
Yes. The browser tool is free, and the MCP plugin is free and open source. No accounts, no subscriptions, no usage limits.
How accurate is the transcript?
DeepSee uses on-device OCR plus deterministic computer vision, so the same screenshot always produces the same transcript. Each text line reports a confidence score, and every word carries exact pixel coordinates.
