anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Turns a still photo and an audio clip or speech file into a talking-head video with matching lip movements, using SadTalker on ZeroGPU. For creators of presenter videos, demos and e-learning clips.
AI Talking Avatar Generator From Photo is a kit in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator cd ai-talking-avatar-generator
This Space turns a still photo into a talking-head video. You give it a photo and an audio clip or a text-to-speech file, and it syncs the lip movements to the sound. It is built on SadTalker and runs on ZeroGPU. The README pitches it for presenter videos, product demos, e-learning and social ads.
It suits creators and teams who need a spoken video from a single picture, and developers who want a small example of a talking-head app.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Marketing | Content and ad teams | Make a spokesperson clip from a photo and a voice track | Produce a short product message |
| E-learning | Course makers | Add a speaking presenter to a lesson | Narrate a slide with a talking face |
| Corporate communication | Internal comms teams | Turn an update script into a short video message | Share a company note as a talking presenter |
| Social media | Creators | Make a quick clip for a post or an ad | Pair a portrait with a voice-over |
You can skip it if you need full-body video or live video calls, since this makes a talking head from one photo.
| Use case | Who | What they get back |
|---|---|---|
| Photo to talking head | Creators | A video of the face speaking your audio |
| Product demo presenter | Marketing teams | A presenter clip for a demo |
| Lesson presenter | Teachers | A speaking face for course material |
The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs.
pip install -U huggingface_hub hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator cd ai-talking-avatar-generator pip install gradio==5.9.1 pip install -r requirements.txt python app.py
Online, open the Space page. On your own computer, run the last command above inside the downloaded folder. Add your photo, then add an audio clip or a text-to-speech file. The app then syncs the lip movements to the sound and makes the video.
| Tool | What it does |
|---|---|
| Photo input | The still picture that becomes the speaking face |
| Audio or speech file | The sound that drives the lip movements |
| app.py | Starts the Gradio app |
| src | Holds the source code |
You upload a clear portrait and an audio clip of a short greeting. The app generates a video in which the person in the portrait speaks the greeting, with the lips following the sound.
If you are new, try a clear, front-facing photo and a short audio clip first. Use a photo you have the right to use. Keep the first clip brief so you see the result sooner.
If you know the field, the pipeline is based on SadTalker, which drives a face from audio, and it runs on ZeroGPU. The repository holds the app, a source folder and a package list, and it does not describe the models or the video length limits.
The README is mostly a pitch, so limits such as clip length, photo quality and output size are not documented.
Turns a still photo and an audio clip or speech file into a talking-head video with matching lip movements, using SadTalker on ZeroGPU. For creators of presenter videos, demos and e-learning clips.
Made by cosmichackerx on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This Space turns a still photo into a talking-head video. You give it a photo and an audio clip or a text-to-speech file, and it syncs the lip movements to the sound. It is built on SadTalker and runs on ZeroGPU. The README pitches it for presenter videos, product demos, e-learning and social ads.
Who it suits: It suits creators and teams who need a spoken video from a single picture, and developers who want a small example of a talking-head app.
Industry | Who uses it | How they use it | Example
Marketing | Content and ad teams | Make a spokesperson clip from a photo and a voice track | Produce a short product message
E-learning | Course makers | Add a speaking presenter to a lesson | Narrate a slide with a talking face
Corporate communication | Internal comms teams | Turn an update script into a short video message | Share a company note as a talking presenter
Social media | Creators | Make a quick clip for a post or an ad | Pair a portrait with a voice-over
You can skip it if you need full-body video or live video calls, since this makes a talking head from one photo.
Where to use it:
Use case | Who | What they get back
Photo to talking head | Creators | A video of the face speaking your audio
Product demo presenter | Marketing teams | A presenter clip for a demo
Lesson presenter | Teachers | A speaking face for course material
How to set it up: The hosted page needs nothing from you. A local copy needs these two things first. The repository does not say what hardware a local copy needs.
pip install -U huggingface_hub
hf download cosmichackerx/ai-talking-avatar-generator --repo-type space --local-dir ai-talking-avatar-generator
cd ai-talking-avatar-generator
pip install gradio==5.9.1
pip install -r requirements.txt
python app.py
How to use it: Online, open the Space page. On your own computer, run the last command above inside the downloaded folder. Add your photo, then add an audio clip or a text-to-speech file. The app then syncs the lip movements to the sound and makes the video.
Tool | What it does
Photo input | The still picture that becomes the speaking face
Audio or speech file | The sound that drives the lip movements
app.py | Starts the Gradio app
src | Holds the source code
Example: You upload a clear portrait and an audio clip of a short greeting. The app generates a video in which the person in the portrait speaks the greeting, with the lips following the sound.
For newcomers and experts: If you are new, try a clear, front-facing photo and a short audio clip first. Use a photo you have the right to use. Keep the first clip brief so you see the result sooner.
If you know the field, the pipeline is based on SadTalker, which drives a face from audio, and it runs on ZeroGPU. The repository holds the app, a source folder and a package list, and it does not describe the models or the video length limits.
You add a photo
You add an audio clip or a speech file
SadTalker syncs the lips to the sound
A talking-head video is produced
Good to know: The README is mostly a pitch, so limits such as clip length, photo quality and output size are not documented.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
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