Use-case cost estimate
How Much Does an Audio Transcription App Cost?
A transcription budget starts with billable audio duration. Channel count, rounding, volume tiers, storage, diarization, and downstream summarization may add cost.
Default workload assumptions
These values make the example reproducible. They are planning assumptions, not measured usage from your application.
- Minutes per file
- 15
- Files per active user per day
- 2
- Active users per day
- 20
- Example model
- GPT-4o mini Transcribe
Calculator-style cost example
Estimate- Transcription usage
- $54.0018000 billable minutes per month
Estimated monthly cost
$54.00
Estimated yearly cost
$648.00
GPT-4o mini Transcribe
Last verified Jun 21, 2026 · OpenAI transcription model pricing
Formula
Main cost drivers
- Audio duration and billing increments
- Daily uploaded files and active users
- Multiple audio channels
- Storage, summarization, and post-processing
Ways to reduce cost
- Trim silence before transcription
- Use batch or lower-urgency tiers when appropriate
- Avoid retranscribing unchanged files
- Track minutes per active user and enforce plan limits
Frequently asked questions
Does this include storage?
No. Audio object storage, egress, and retention are separate infrastructure costs.
Does every provider bill by exact minutes?
Billing increments and token-based alternatives can differ. The calculator applies the increment stored with the selected pricing record.
Related pricing pages
Related glossary terms
Input tokens
Input tokens are the tokenized units sent to a model, including instructions, user content, conversation history, retrieved context, and tool definitions.
OpenRequests per day
Requests per day is the number of billable API calls made during a day. TokenMath commonly derives it from requests per active user multiplied by active users.
OpenCost per request
Cost per request is the sum of all billable usage generated by one API call, commonly input token cost plus output token cost for a text model.
Open