How Long Does AI Transcription Take? [Real Processing Times & Timeline Calculator]
AI transcription processing speed: 1-3 minutes per hour of audio. A typical 1-hour meeting takes ~2 minutes to transcribe, and a 30-minute podcast takes ~1 minute. Total turnaround from upload to download is typically under 10 minutes for most files.
Quick Navigation
- Actual Processing Times
- What Affects Processing Speed
- AI Transcription Time Calculator Prompt
- Total Turnaround Timeline
- Multiple Files Processing
- AI vs Human Transcription Speed
- Planning Deadlines
Actual Processing Times
Processing Speed: 1-3 Minutes Per Hour of Audio
BrassTranscripts processes audio at 1-3 minutes per hour of audio content, with typical processing time around 2 minutes per hour.
Real-World Examples:
| Audio Duration | Fast (1 min/hour) | Typical (2 min/hour) | Conservative (3 min/hour) |
|---|---|---|---|
| 30 minutes | 30 seconds | 1 minute | 1.5 minutes |
| 1 hour | 1 minute | 2 minutes | 3 minutes |
| 1.5 hours | 1.5 minutes | 3 minutes | 4.5 minutes |
| 2 hours (max) | 2 minutes | 4 minutes | 6 minutes |
Why The Range?
Processing speed varies slightly based on:
- Audio quality: Clear audio processes efficiently
- Number of speakers: More speakers take slightly longer
- Server load: Peak hours may run at conservative speed
Most files process at the typical rate (~2 min/hour). The conservative estimate (3 min/hour) provides a safety buffer for deadline planning.
What Affects Processing Speed
Factors That Impact Processing Time
Audio-Related Factors:
- ✅ Clear speech: Clean audio processes efficiently
- ✅ Few speakers: 2-3 speakers process faster than 10+ speakers
- ✅ Standard formats: MP3, M4A, WAV process smoothly
- ⚠️ Background noise: Heavy noise may slow processing slightly
- ⚠️ Many speakers: Large meetings (10+ people) take a bit longer
- ⚠️ Compressed formats: Very low bitrate files may need extra processing
System Factors:
- Server load (peak hours vs. off-hours)
- File format (though difference is minimal)
- Current queue position (if multiple users uploading simultaneously)
What Does NOT Affect Speed:
- ❌ File size (250MB vs 50MB processes at same rate per hour of audio)
- ❌ Video vs audio-only (video audio track extracted quickly)
- ❌ Your location or internet speed (processing happens server-side)
Guaranteed Maximum: 10 Minutes
All files complete processing within 10 minutes maximum (processing timeout limit). This means even a 2-hour file will definitely finish within 10 minutes, regardless of complexity.
AI Transcription Time Calculator Prompt
Use this AI prompt to calculate exact processing times for your specific files:
📋 Copy & Paste This Prompt
Calculate my AI transcription processing time: **My Files:** - Total audio duration: [X hours and X minutes, e.g., "2 hours 30 minutes"] - Number of files: [X files] - Average file length: [X minutes per file] - Upload method: [Single file / Multiple files in sequence] **BrassTranscripts Processing Guidelines:** - Processing speed: 1-3 minutes per hour of audio - Typical processing time: ~2 minutes per hour of audio - Files process sequentially (one at a time if uploading multiple) **Please Calculate:** 1. **Per-file processing time** - Fast estimate (1 min/hour of audio) - Typical estimate (2 min/hour of audio) - Conservative estimate (3 min/hour of audio) 2. **Total processing time** - If uploading all files at once (sequential processing) - If uploading files one-by-one (includes my upload time) 3. **Timeline with buffer** - Add recommended time buffer for safety - Suggested "delivery by" time if I upload now **Then provide:** - **Realistic deadline**: When I can expect all transcripts - **Buffer recommendation**: How much extra time to allow - **Workflow tips**: Best practices for my specific scenario Be specific with time estimates and show the math. --- Prompt by BrassTranscripts (brasstranscripts.com) – Professional AI transcription with professional-grade accuracy. ---
📖 View Markdown Version | ⚙️ Download YAML Format
How To Use This Prompt
- Copy the prompt above
- Fill in your file details (duration, number of files, etc.)
- Paste into ChatGPT, Claude, or Gemini
- Get accurate time estimates with recommended buffers
The AI will calculate fast, typical, and conservative estimates so you can plan realistic deadlines.
Total Turnaround Timeline
Complete Workflow: Upload to Download
Step-by-Step Timeline for 1-Hour Audio File:
| Step | Time | Notes |
|---|---|---|
| 1. Upload file | 2-5 minutes | Depends on file size and internet speed |
| 2. Processing | ~2 minutes | Typical processing time (1-3 min range) |
| 3. Preview | 30 seconds | Review 30-word preview for quality |
| 4. Payment | 1 minute | Quick checkout via LemonSqueezy |
| 5. Download | 30 seconds | All formats (TXT, SRT, VTT, JSON) |
| Total | 6-9 minutes | From upload to final download |
Realistic Deadlines
If you upload now, when will you have transcripts?
30-minute file:
- Processing: ~1 minute
- Total turnaround: 5-7 minutes
- Safe deadline: Allow 10 minutes
1-hour file:
- Processing: ~2 minutes
- Total turnaround: 6-9 minutes
- Safe deadline: Allow 15 minutes
2-hour file:
- Processing: ~4 minutes
- Total turnaround: 8-12 minutes
- Safe deadline: Allow 20 minutes
Add extra time if:
- Large file size (close to 250MB limit)
- Uploading during peak hours
- Critical deadline (always use conservative estimate)
Multiple Files Processing
Sequential Processing Explained
BrassTranscripts processes files one at a time in sequence. If you upload multiple files:
- File #1 starts processing immediately
- File #2 starts processing when File #1 completes
- File #3 starts processing when File #2 completes
- And so on...
Timeline for Multiple Files
Example: 5 podcast episodes, each 45 minutes long
Option A: Upload All At Once (Recommended)
- Total audio: 5 × 45 min = 225 minutes (3.75 hours)
- Processing time: 3.75 hours × 2 min/hour = ~7.5 minutes
- Total turnaround: 10-12 minutes (including upload and download)
- Files complete in sequence, but you only upload once
Option B: Upload One By One
- Same processing time (~7.5 minutes total)
- But YOU must manually upload each file
- Adds 5-10 minutes of YOUR time clicking "upload" between files
- Total turnaround: 15-20 minutes (less efficient)
Recommendation: Upload all files at once. The system queues them automatically and processes sequentially without requiring your attention.
Batch Processing Tips
For 10+ Files:
- Upload all at once for hands-off processing
- Processing time = (total audio duration) × 2 min/hour
- Example: 10 hours of audio = ~20 minutes processing time
- Add 10-minute buffer for upload/download = 30 minutes total
File Limits to Remember:
- Maximum file size: 250MB per file
- Maximum duration: 2 hours per file
- Minimum duration: 5 minutes per file
Learn more about our technical decisions behind these limits.
If files exceed limits, split them into smaller segments before uploading.
AI vs Human Transcription Speed
Speed Comparison
Human Transcription:
- Speed: 4-6 hours to transcribe 1 hour of audio
- Turnaround: Typically 24-48 hours minimum
- Multiple files: Scales linearly (10 hours audio = 40-60 hours work)
AI Transcription (BrassTranscripts):
- Speed: 1-3 minutes to transcribe 1 hour of audio
- Turnaround: Typically under 10 minutes
- Multiple files: Sequential processing, still minutes not hours
Speed Difference: AI is approximately 100x faster than human transcription.
When Speed Matters Most
Same-Day Turnaround Scenarios:
- Meeting at 2pm, need transcript by 5pm ✅ AI (6 minutes), ❌ Human (24+ hours)
- Podcast recorded Monday, episode publishes Tuesday ✅ AI (10 minutes), ❌ Human (24-48 hours)
- Interview at 10am, article deadline at noon ✅ AI (8 minutes), ⚠️ Human (rush fees + uncertain)
- Conference session just ended, need notes for next session ✅ AI (5 minutes), ❌ Human (impossible)
Next-Week Turnaround Scenarios:
- Research interviews for report due in 2 weeks ✅ AI (immediate), ✅ Human (acceptable)
- Legal deposition for case prep in 10 days ✅ AI (immediate), ✅ Human (acceptable)
- Archival transcription for documentary ✅ AI (fast), ✅ Human (higher quality editing)
Quality vs Speed Trade-Off
AI Transcription:
- ✅ Professional-grade accuracy for clear audio
- ✅ 100x faster processing
- ✅ Automatic speaker labels
- ⚠️ May require minor editing for unclear audio or technical terms
Human Transcription:
- ✅ Maximum accuracy (especially for difficult audio)
- ✅ Perfect punctuation and formatting
- ✅ Context-aware editing
- ❌ 100x slower
- ❌ 5-10x more expensive
Best Choice: For most use cases (meetings, podcasts, interviews, lectures), AI speed advantage outweighs minor editing requirements.
Planning Deadlines
Deadline Planning Strategies
Critical Deadline (Can't Miss):
- Use conservative estimate (3 min/hour)
- Add 50% buffer on top
- Example: 1-hour audio → 3 min processing + 1.5 min buffer = allow 5 minutes
Standard Deadline (Normal Project):
- Use typical estimate (2 min/hour)
- Add 25% buffer on top
- Example: 1-hour audio → 2 min processing + 30 sec buffer = allow 3 minutes
Flexible Timeline (When Ready):
- Use fast estimate (1 min/hour)
- Minimal buffer needed
- Example: 1-hour audio → 1 min processing = allow 2 minutes
Real-World Deadline Scenarios
Scenario 1: Meeting Notes for Follow-Up
- Situation: Team meeting at 2pm, you need notes for 3pm follow-up call
- Audio: 1-hour meeting recording
- Timeline: Upload at 2:10pm → Transcript ready by 2:15pm → 45 minutes to spare
Scenario 2: Podcast Publication Deadline
- Situation: Episode publishes Tuesday 6am, recording finished Monday 5pm
- Audio: 45-minute podcast episode
- Timeline: Upload Monday 5:15pm → Transcript ready by 5:20pm → 12+ hours to spare
Scenario 3: Research Interview Analysis
- Situation: Conducted 5 interviews (1 hour each), need transcripts for coding/analysis
- Audio: 5 hours total across 5 files
- Timeline: Upload all 5 files → Transcripts ready in ~15 minutes → Start analysis immediately
Scenario 4: Legal Deposition Review
- Situation: Deposition recorded Friday, attorney review Monday morning
- Audio: 2-hour deposition
- Timeline: Upload Friday afternoon → Transcript ready in ~5 minutes → All weekend for review
Scenario 5: Lecture Study Materials
- Situation: Lecture recorded Tuesday, exam Friday, need study guide
- Audio: 90-minute lecture
- Timeline: Upload Tuesday evening → Transcript ready in ~3 minutes → 2+ days for study guide creation
Deadline Buffer Recommendations
| Deadline Criticality | Processing Estimate | Recommended Buffer | Total Time to Allow |
|---|---|---|---|
| Mission Critical | Conservative (3 min/hr) | +100% | 6 min/hr of audio |
| Important | Typical (2 min/hr) | +50% | 3 min/hr of audio |
| Standard | Typical (2 min/hr) | +25% | 2.5 min/hr of audio |
| Flexible | Fast (1 min/hr) | +10% | 1.1 min/hr of audio |
Common Questions About Processing Time
Does file format affect processing speed?
Minimal impact. All supported formats (MP3, M4A, WAV, MP4, etc.) process at similar speeds. Audio quality matters more than format.
- MP3, M4A, WAV: ~Same speed
- Video (MP4, MPEG): Audio extracted quickly, ~same total speed
- Compressed formats (OGG, Opus): May add 10-20 seconds for very long files
Bottom line: Don't worry about format for speed. Use whatever format is convenient. See our complete file format guide for details on all supported formats.
Can I speed up processing?
Processing speed is automatic and optimized. You cannot manually speed it up, but you can ensure efficient processing:
✅ Upload high-quality audio (clear speech, low background noise) ✅ Use standard formats (MP3, M4A, WAV) ✅ Upload during off-peak hours (if timing is flexible)
❌ Won't help: Smaller file size, different format, faster internet
What if my file takes longer than expected?
Maximum processing time is 10 minutes. If your file is still processing after 10 minutes, something went wrong.
Troubleshooting:
- Check file limits: Max 250MB, 2 hours duration, 5 min minimum
- Verify file format: Ensure it's a supported format
- Try re-uploading: Sometimes upload errors cause processing delays
- Contact support: support@brasstranscripts.com if issues persist
99% of files finish within 5 minutes. Extended processing usually indicates an upload issue rather than normal processing time.
Do multiple files process simultaneously?
No, files process sequentially (one after another). This ensures consistent processing quality and efficient server resource usage.
Why sequential?
- Consistent processing speed per file
- Predictable timeline estimation
- Efficient server resource allocation
- Quality maintained across all files
Advantage: You can upload all files at once and walk away. The system processes them automatically without requiring your attention.
Does processing time affect pricing?
No. Pricing is based on audio duration only, not processing time.
- 1-15 minutes audio: $2.25 flat rate
- 16+ minutes audio: $0.15 per minute
Examples:
- 30-min file (1 min processing): $4.50
- 30-min file (2 min processing): $4.50 (same price)
- 1-hour file (2 min processing): $9.00
- 1-hour file (3 min processing): $9.00 (same price)
Processing speed variation does not impact cost.
Processing Time Comparison Table
AI Transcription Services Processing Speed
| Service | Processing Speed | 1-Hour File | 2-Hour File | Notes |
|---|---|---|---|---|
| BrassTranscripts | 1-3 min/hour | ~2 minutes | ~4 minutes | Typical 2 min/hour |
| Rev.ai | 5-15 min/hour | ~10 minutes | ~20 minutes | Varies by plan |
| AssemblyAI | 3-8 min/hour | ~5 minutes | ~10 minutes | API-based |
| Otter.ai | 10-30 min/hour | ~20 minutes | ~40 minutes | Free tier slower |
| Deepgram | 2-5 min/hour | ~3 minutes | ~6 minutes | Real-time option faster |
| AWS Transcribe | 5-15 min/hour | ~10 minutes | ~20 minutes | Varies by region |
| Google Cloud STT | 3-10 min/hour | ~6 minutes | ~12 minutes | Batch processing |
| Azure Speech | 5-12 min/hour | ~8 minutes | ~16 minutes | API limits affect speed |
| Human Transcription | 4-6 hours/hour | 4-6 hours | 8-12 hours | 24-48hr turnaround |
Note: Competitor speeds are approximate based on public documentation and testing. Actual speeds may vary based on plan, server load, and file complexity.
BrassTranscripts Advantage: Consistently fast processing (1-3 min/hour) with no speed tiers, plan restrictions, or API throttling.
Summary: How Long Does AI Transcription Take?
Quick Answer: 1-3 minutes per hour of audio, typically ~2 minutes per hour.
Complete Timeline:
- Upload: 2-5 minutes (depends on file size)
- Processing: 1-3 min/hour of audio
- Review + Payment: 1-2 minutes
- Download: 30 seconds
- Total: Typically under 10 minutes from start to finish
Planning Your Timeline:
- Fast estimate: 1 min/hour (optimal conditions)
- Typical estimate: 2 min/hour (normal conditions)
- Conservative estimate: 3 min/hour (for critical deadlines)
Use the AI Time Calculator prompt above to get exact estimates for your specific files.
Ready to transcribe? Upload your files at BrassTranscripts.com and get your transcripts in minutes.