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Decision brief
Botium Speech Processing uses Docker for managing speech-to-text and text-to-speech services with full and slim configurations
Good fit when
- Need comprehensive speech-processing capabilities using prebuilt Docker images
- Require integration with major cloud providers like Azure through provided docker-compose files
Avoid when
- Limited hardware, needing a setup with less than the required 8GB RAM and 40GB HD space
- Not looking to use Docker or docker-compose for deployment purposes
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (35d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install botium-speech-processingSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A comprehensive service for speech-to-text and text-to-speech processing using Docker containers.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Jul 31, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Jul 31, 2026
- Languages
- javascript
Source: github.language · Jul 31, 2026
Categories
Tags
README
Software and Hardware Requirements
- 8GB of RAM (accessible for Docker) and 40GB free HD space (for full installation)
- Internet connectivity
- docker
- docker-compose
Note: memory usage can be reduced if only one language for Kaldi is required - default configuration comes with two languages.
Full Installation (Prebuilt Docker Images)
Clone or download this repository and start with docker-compose:
> docker-compose up -d
This will download the latest released prebuilt images from Dockerhub. To download the latest developer images from Dockerhub:
> docker-compose --env-file .env.develop up
Point your browser to http://127.0.0.1 to open the Swagger UI and browse/use the API definition.
Slim Cloud-Specific Installation (Prebuilt Docker Images)
For the major cloud providers there are additional docker-compose files. If using those, the installation is more slim, as there is only the frontend-service required. For instance, add your Azure subscription key and Azure region key to the file docker-compose-azure.yml and start the services:
> docker-compose -f docker-compose-azure.yml up -d
For Deepgram, add your API key to the file docker-compose-deepgram.yml and start the services:
> docker-compose -f docker-compose-deepgram.yml up -d
Optional: Build Docker Images
You can optionally built your own docker images (if you made any changes in this repository, for instance to download the latest version of a model). Clone or download this repository and run docker-compose:
> docker-compose -f docker-compose-dev.yml up -d
This will take some time to build.
For agents
This page has a .md twin and JSON over the API.