In practice. What you can do with Whisper (OpenAI).
OpenAI's AI audio transcription model providing accurate multilingual speech-to-text conversion via paid API with multiple performance and cost tiers.
Key strengths: Open-source model freely available (self-host).; Highly accurate multilingual transcription.; Multiple cost tiers suited to need.; Easily integrable into applications.; Granular billing to the second..
Whisper API suits production transcription; for light use, services like Otter.ai work better.
Practical uses
Transcribe business calls/meetings.
Integrate transcription into a SaaS app.
Transcribe videos/podcasts at scale.
Create a customer-billed transcription service.
Features & use cases
Notes reunion
Sous titrage
Transcription
The case for and against. What Whisper (OpenAI) does well, and when it costs too much.
For. What works in its favour.
Open-source model freely available (self-host).
Highly accurate multilingual transcription.
Multiple cost tiers suited to need.
Easily integrable into applications.
Granular billing to the second.
You need an API integrable into an app.
You tolerate usage-based billing.
Against. What to plan for.
Paid API (not free for commercial use).
No volume discounts.
Self-hosting requires technical skills.
Costs can accumulate with high volume.
You absolutely need free access.
You want a direct graphical interface.
Pricing. What does Whisper (OpenAI) cost ?
Free
$0
API payante uniquement ; modèle open-source disponible
