7 Practical Tips to Improve Transcription Accuracy

AI transcription accuracy isn't left to chance. Optimize your inputs and workflow to push accuracy from 85% to 95%+.

Tip 1: Use High-Quality Source Audio

Models are sensitive to sample rate. Recommendations:

• Sample rate >= 16 kHz (minimum for speech recognition)
• Bit depth >= 16-bit
• Use a microphone close to the speaker

Tip 2: Enable AI Audio Repair

WuZhiZuo's AI repair auto-denoises, removes background, and fixes clipping:

audio_repair:
  denoise: true
  dereverb: true
  declip: true

Tip 3: Choose the Right Mode

• Cheetah: Clean single-speaker recordings
• Dolphin: Everyday recommendation
• Whale: Complex multilingual, multi-speaker

Tip 4: Specify Language Explicitly

Auto-detection can misjudge code-switched audio. Manual specification avoids errors:

{
  "language": "en",
  "initial_prompt": "The following is English audio content."
}

Tip 5: Use a Glossary

Proper nouns (names, products, acronyms) are error-prone. A custom vocabulary boosts accuracy 5-10%.

Tip 6: Avoid Processing Long Audio at Once

For audio over 2 hours, segment processing reduces context drift. WuZhiZuo Pro auto-segments.

Tip 7: Human-Review the Last 10%

After AI transcription, quickly review questionable passages in the built-in editor. With speaker ID, 10 minutes can review 1 hour of audio.

Summary

Transcription accuracy = source quality x model choice x post-processing. Combine all three for 95%+ accuracy.