Why You Should Clean Up Audio Before Transcribing It

You run your recording through a speech-to-text tool and the transcript is full of errors — missing words, garbled phrases, phantom sentences that nobody actually said. Before blaming the AI, look at your audio.

Noisy recordings are the number one cause of bad transcriptions. The good news: a simple cleanup step before transcribing can dramatically improve your results.

How Noise Affects Transcription

Speech-to-text AI models work by analyzing audio waveforms to identify speech patterns. When background noise competes with speech, the model struggles to distinguish words from interference.

Common problems caused by noisy audio:

• Missed words: The AI can't hear speech buried under noise, so it skips words entirely
• Misheard words: Noise causes the model to interpret sounds incorrectly ("the budget needs" becomes "the budget meets")
• Hallucinated text: In very noisy sections, the model may generate plausible-sounding text that nobody actually said
• Missing segments: Extended periods of heavy noise may produce no output at all

Even moderate background noise — an air conditioner, street traffic, a coffee shop — can reduce transcription accuracy by 15–30%.

The Two-Step Workflow

The solution is simple: clean your audio before you transcribe it.

Step 1: Audio Cleanup

Run your recording through WaveSieve Audio Cleanup:

1. Upload your audio file
2. Select Quick Clean for moderate noise, or Clean + Polish for heavy noise
3. Download the cleaned version

Quick Clean removes background noise, echo, and reverb while preserving speech clarity. Clean + Polish goes further by enhancing overall audio quality — improving loudness balance, reducing harsh frequencies, and bringing speech to the foreground.

Cost: 15 credits

Step 2: Transcribe

Send the cleaned audio to WaveSieve Speech to Text:

1. Upload the cleaned audio file from Step 1
2. Click process
3. Get your transcript

Cost: 15 credits

Total for both steps: 30 credits. For the accuracy improvement you get, this is almost always worth it.

When to Use Each Cleanup Mode

The Bigger Picture: Format Matters Too

Before starting the cleanup-transcribe workflow, make sure you're working with the best source file available:

• If you have the original recording in WAV or FLAC, use that. Lossless formats preserve more detail for both cleanup and transcription.
• If you only have a compressed MP3, that's fine — just don't re-compress it before processing.
• Need to convert formats? Use WaveSieve's free Format Converter (no upload required, runs in your browser).

Tips for Cleaner Source Recordings

The best transcription starts with the best possible recording. A few simple habits:

1. Use a dedicated microphone rather than your laptop's built-in mic
2. Record in a quiet room with the door closed
3. Position the mic close to the speaker (6–12 inches)
4. Do a test recording and listen back before your full session
5. Avoid recording near fans, HVAC, or windows facing traffic

Even with these precautions, some noise is inevitable. That's exactly what Audio Cleanup is for.

Summary

Bad transcription? Fix the audio first.

1. Clean your audio (15 credits)
2. Transcribe the cleaned audio (15 credits)
3. Get a dramatically better transcript

It's a 30-credit, two-minute workflow that saves you from manually correcting a messy transcript. For more on the transcription step, see our full guide: How to Transcribe Audio to Text with AI.