CLAP (LAION)
CLIP for audio: maps audio and text into a shared space. Lets you search sounds and music by description and classify them without training. Text must be in English.
The last open version came out in Oct 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.
- Developer
- LAION, Germany
- First release
- Feb 2023
- Latest release
- Oct 2023
- Sizes
- size not stated on the model card
- License
- Commercial use allowedApache 2.0 (weights on HF); code and original checkpoints — CC0
- Russian
- Not supported
- Running
- On your own serverAlso runs without a GPU
- Industries
- Media and production, Marketing and content, Security
What it does
- Search sounds and music by description
- Automatic tags for an audio library
- Recognizing sound types (siren, breaking glass, voice)
Where it is used
Hardware requirements
Versions
- larger_clap в Transformers
- Larger CLAP: музыка и речь
- LAION-CLAP (HTSAT, LAION-Audio-630K)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can CLAP (LAION) be used in a commercial project?
Yes. License: Apache 2.0 (weights on HF); code and original checkpoints — CC0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does CLAP (LAION) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does CLAP (LAION) support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download CLAP (LAION) and what does it cost?
The CLAP (LAION) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Meta's family of encoders for images and video, and with PE-AV also for audio. PE-Core searches by text more accurately than SigLIP 2 (per Meta); small versions are available.
DetailsComputer visionCLIP (OpenAI)OpenAI · USACommercial use allowedThe 2021 model that first linked images and text: search photos by words and classify them without training. English only; SigLIP 2 or PE are usually chosen today.
DetailsSource: huggingface.co/laion/larger_clap_music_and_speech. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


