Understanding Transcription Accuracy

TranscribeNext uses state-of-the-art AI to deliver highly accurate transcriptions. However, accuracy depends on several factors you can control.

Expected Accuracy Rates

• 90-95% accuracy - Clear audio with minimal background noise
• 85-90% accuracy - Good audio with some background noise
• 75-85% accuracy - Poor audio quality, heavy accents, or multiple speakers talking over each other
• Under 75% - Very poor audio, extreme background noise, or highly specialized terminology

Factors That Affect Accuracy

Audio Quality:

• Clear, high-quality recording = better accuracy
• Low bitrate or compressed audio = lower accuracy
• Professional microphones produce best results
• Phone recordings work but may have lower accuracy

Background Noise:

• Silent or quiet environments = highest accuracy
• Music, traffic, or crowd noise = reduced accuracy
• Echo or reverb = harder to transcribe
• Wind noise or rustling = significantly impacts results

Speaker Characteristics:

• Clear speaking voice = better accuracy
• Strong accents = may reduce accuracy (still good though)
• Mumbling or talking too fast = lower accuracy
• Multiple speakers talking simultaneously = much harder to transcribe

Content Type:

• Standard vocabulary = highest accuracy
• Technical jargon = may need manual correction
• Medical or legal terms = specialized models work better
• Names and proper nouns = often need verification

How to Improve Accuracy

1. 1Use a good microphone - Built-in laptop mics are okay, but external USB mics are much better
2. 2Record in a quiet room - Close windows, turn off fans, silence phones
3. 3Speak clearly and slowly - Don't rush, enunciate words properly
4. 4Keep microphone 6-12 inches from mouth - Too close = distortion, too far = faint audio
5. 5Use speaker diarization - Helps AI understand multiple speakers
6. 6Select the correct language - Auto-detect works well, but manual selection is more reliable
7. 7Upload high-quality files - WAV or high-bitrate MP3 (256kbps+) is ideal
8. 8Avoid background music - Music confuses the AI and reduces accuracy

Tips for Different Use Cases

Podcasts & Interviews:

• Enable speaker diarization to identify who is speaking
• Use individual microphones for each person if possible
• Avoid speaking over each other

Meetings:

• Use a good conference microphone or meeting recorder bot
• Ask participants to mute when not speaking
• Reduce echo with acoustic panels or soft furnishings

Lectures & Presentations:

• Use a lapel mic for the speaker
• Record in a room with good acoustics (not too echoey)
• Minimize audience noise

Phone Calls:

• Use a good connection (not speakerphone)
• Record in a quiet environment
• Use call recording apps with high quality settings

What to Do About Errors

• Edit inline - Click any word to fix mistakes directly
• Use find & replace - Fix repeated errors quickly
• Provide feedback - Report consistent errors to help us improve