GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (18d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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 · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
- Languages
- javascript
Source: github.language · Sep 20, 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 langu...
For agents
This page has a .md twin and JSON over the API.