Is local transcription always better?
No. It fits files already on your computer when local control matters.
Compare
Three ways to run your transcription workflow.
Start with where the media lives and where the task runs.
Direct answer
Use EdgeSpeak when media should stay local or needs desktop review. Use a cloud API for server-side jobs when uploads are acceptable.
Files on your computer
EdgeSpeak fits local processing, desktop review, and handoff to CLI tools or agents.
Tasks on a server
Cloud APIs fit remote queues, server-side batch jobs, and media that can be uploaded.
Build around your own models
Self-hosting suits teams that need to control model selection and infrastructure, and can maintain dependencies, hardware, endpoints, and a review interface.
Comparison
| Dimension | EdgeSpeak | Cloud API | Self-hosted models |
|---|---|---|---|
| Processing | On your computer | Remote service | Your own hardware or server |
| Review | Desktop workspace | Web app or custom UI | Build or integrate a review UI |
| Automation | CLI and local gateway | API, SDK, and server queues | Configure your own runtime and endpoints |
| Best for | Local files and desktop tasks | Cloud media and server tasks | Custom infrastructure and model control |
FAQ
When should I choose a cloud API?
When the task runs on a server, needs batch scale, and can upload the media.
Can EdgeSpeak connect to automation?
Yes. Use the CLI or local gateway with scripts and agents.