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…
Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-device speech with a small memory and latency budget.
Chatterbox-Nano is a kit in the Developer 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 chatterbox-tts
Chatterbox-Nano is the smallest of four open-source text-to-speech models in the Chatterbox family from Resemble AI. It has about 110 million parameters and speaks English. The card says it runs about 3x faster than realtime on an 8-core CPU, after the maker cut the mel decoder from 10 steps to one.
Developers who need small, quick speech output on a device or a CPU server, under the MIT license.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | App developers | Add on-device speech to an app with no GPU | Read notifications aloud |
| Voice products | Agent builders | Give an assistant a fast voice | Answer a spoken question |
| Media | Content creators | Narrate short scripts with laughs and coughs | Add a laugh to a line |
| Embedded and edge | Hardware teams | Run speech within tight memory and latency limits | Speak status messages on a small machine |
Skip it if you need other languages, since this model speaks English only, or if you want the creative controls of the larger family members.
It runs in Python on your own machine.
| Use case | Who | What they get back |
|---|---|---|
| On-device speech | App developers | Spoken audio from text, made on the CPU |
| Voice agents | Agent builders | Quick spoken replies |
| Expressive narration | Creators | Speech with laughs, coughs and chuckles marked by tags |
You need Python and the chatterbox-tts package.
pip install chatterbox-tts
pip install -U huggingface_hub hf download ResembleAI/chatterbox-nano
Install the package and give it English text. You can place paralinguistic tags in the text to add sounds. The usage code is not in the card text shown here, so follow the Chatterbox usage section for the exact calls.
| Tool | What it does |
|---|---|
| [laugh] | Tag that adds a laugh to the speech |
| [cough] | Tag that adds a cough |
| [chuckle] | Tag that adds a chuckle |
| pip install chatterbox-tts | Installs the Chatterbox package |
You write a short English line and place a laugh tag in the middle of it. The model speaks the line as audio, and the laugh lands where you put the tag.
If you are new to text to speech, start with one short sentence on your own computer and listen to the result. Then try a tag to hear how it changes the delivery.
If you know the field, Nano uses a lean 110M design. The speech-token-to-mel decoder was distilled so generation takes one step instead of ten. Tags are native to both Nano and Turbo, and Turbo is built for low-latency voice agents.
The family also has Turbo, Multilingual and the original Chatterbox, and the card says the Multilingual model offers zero-shot cloning. Use only voices you have the right to use.
Speaks English text aloud on a plain CPU with a 110M-parameter model, and adds laughs and coughs through tags in the text. Suits developers who need fast on-device speech with a small memory and latency budget.
Made by ResembleAI on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.
What it is: Chatterbox-Nano is the smallest of four open-source text-to-speech models in the Chatterbox family from Resemble AI. It has about 110 million parameters and speaks English. The card says it runs about 3x faster than realtime on an 8-core CPU, after the maker cut the mel decoder from 10 steps to one.
Who it suits: Developers who need small, quick speech output on a device or a CPU server, under the MIT license.
Industry | Who uses it | How they use it | Example
Software | App developers | Add on-device speech to an app with no GPU | Read notifications aloud
Voice products | Agent builders | Give an assistant a fast voice | Answer a spoken question
Media | Content creators | Narrate short scripts with laughs and coughs | Add a laugh to a line
Embedded and edge | Hardware teams | Run speech within tight memory and latency limits | Speak status messages on a small machine
Skip it if you need other languages, since this model speaks English only, or if you want the creative controls of the larger family members.
Where to use it: It runs in Python on your own machine.
Use case | Who | What they get back
On-device speech | App developers | Spoken audio from text, made on the CPU
Voice agents | Agent builders | Quick spoken replies
Expressive narration | Creators | Speech with laughs, coughs and chuckles marked by tags
How to set it up: You need Python and the chatterbox-tts package.
pip install chatterbox-tts
pip install -U huggingface_hub
hf download ResembleAI/chatterbox-nano
How to use it: Install the package and give it English text. You can place paralinguistic tags in the text to add sounds. The usage code is not in the card text shown here, so follow the Chatterbox usage section for the exact calls.
Tool | What it does
[laugh] | Tag that adds a laugh to the speech
[cough] | Tag that adds a cough
[chuckle] | Tag that adds a chuckle
pip install chatterbox-tts | Installs the Chatterbox package
Example: You write a short English line and place a laugh tag in the middle of it. The model speaks the line as audio, and the laugh lands where you put the tag.
For newcomers and experts: If you are new to text to speech, start with one short sentence on your own computer and listen to the result. Then try a tag to hear how it changes the delivery.
If you know the field, Nano uses a lean 110M design. The speech-token-to-mel decoder was distilled so generation takes one step instead of ten. Tags are native to both Nano and Turbo, and Turbo is built for low-latency voice agents.
Install chatterbox-tts
Load the Nano model
Write text with optional tags
Generate speech on the CPU
Save or play the audio
Good to know: The family also has Turbo, Multilingual and the original Chatterbox, and the card says the Multilingual model offers zero-shot cloning. Use only voices you have the right to use.
Title: Model size in the Chatterbox family
Nano: 110 M
Turbo: 350 M
Multilingual: 500 M
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download ResembleAI/chatterbox-nano
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 5 KB
Listed Hugging Face models in the same category that share the most tags with this one.
| Product | Downloads, last 30 days | Likes | Parameters | License | Last change |
|---|---|---|---|---|---|
| Chatterbox-Nano This page | 0 | 49 | — | mit | |
| Chatterbox TTSShares speech-generation · voice-cloning · speech | 2,440,902 | 1,911 | — | mit | |
| AuKShares speech-generation · voice-cloning · speech | 1,455 | 396 | — | mit | |
| Chatterbox-TurboShares speech-generation · voice-cloning · speech | 0 | 709 | — | mit | |
| Ming-3.0-tts-0.5B by inclusionAIShares speech-generation · voice-cloning · text-to-speech | 14,756 | 225 | 1.5B | mit | |
| Ming-3.0-tts-tinyShares speech-generation · voice-cloning · text-to-speech | 9,080 | 61 | 9B | mit |
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…
Qwen · Kit
Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…
ACE-Step · Kit
Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…
alirezarezvani · Skill
Adds 411 ready-made skills for Claude Code and other coding agents, grouped by role from engineering and product to marketing, finance and compliance. Installs…
block · Kit
Self-hostable workspace where people and AI agents share the same rooms, built on a Nostr relay that logs every action as a signed event. For teams that want t…
backnotprop · Kit
Opens your AI coding agent's plans, specs and code changes in a browser so you can annotate or comment on them and send the feedback straight back to the agent.