Language extraction
Extract visible text and language content from images.
Vision language workflow
See the text.
Understand the image.
VXLT turns photographed documents and images into readable, translated language using a local vision model.
Windows 10/11 x64 · CPU supported · GPU recommended
What it does
From image to useful language.
A narrow, understandable workflow for images that contain text or need a plain-language description.
Translation
Translate foreign-language content from photographed documents or images.
Single file processing
Select one picture and send it for analysis.
Picture support
Supports common picture formats.
Offline capability
CPU and NVIDIA GPU supported. CPU works, but GPU is recommended.
No install needed
Unzip the downloaded file and run VXLT.exe.
Quick start
Up and running in five steps.
VXLT uses Ollama to download and run the vision model on your computer.
- 1Install Ollama
Download it from ollama.com. If CLEAR already uses Ollama, skip this step.
- 2Open VXLT
Unzip the download and run
VXLT.exe. - 3Check the connection
Select “Check Ollama Connection.” A check mark confirms Ollama is running.
- 4Choose a model
Select a model size and download it the first time you run the app.
- 5Analyze an image
Select a picture and a task, then choose Send.
Click the screenshot to enlarge it and read the details.
Current release
VXLT 0.1
The first public release of the vision extraction and translation workflow.
Version historyv0.1
v0.1Initial release.
Verify the download
VXLT 0.1 MD5ab05d3273b0980e3cb8b2502ec6a417e
Good to know
Common questions.
What does VXLT stand for?
Vision eXtract Language Translate.
What does it do?
VXLT uses a vision language model to extract content from images and translate it when needed.
Which computers are supported?
Windows 10 and Windows 11 on x64 systems.
Do I need a GPU?
No. A CPU works, though a compatible GPU will make processing faster.
Ready to try it?