Best AI tools for transcribing interviews (researcher)

4 tools selected and reviewed

Transcribing a qualitative interview by hand takes hours, and a researcher often conducts several interviews per week. These tools automatically transcribe speech, separate speakers and export text ready to code.

Our ranking, from most reliable for research interviews to simplest for occasional use.

Our quick recommendation

1Highest rated
Otter.aiTranscription & meetings

Automatic meeting transcription and notes in real time.

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2Excellent choice
Fireflies.aiTranscription & meetings

An assistant that joins your meetings, records, and summarizes them.

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3Worth a look
tl;dvTranscription & meetings

The AI meeting recorder that summarizes, indexes, and shares your Zoom, Meet, and Teams calls

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All results

4 tools
ToolBest forPriceFRLevelVerdictRating
Otter.aiAutomatic meeting transcription and notes in real time.FreemiumBeginnerGood choice★ 4.2
Fireflies.aiAn assistant that joins your meetings, records, and summarizes them.Freemium🇫🇷BeginnerVery good★ 4.3
tl;dvThe AI meeting recorder that summarizes, indexes, and shares your Zoom, Meet, and Teams callsFreemium🇫🇷BeginnerVery good★ 4.6
Read AIThe AI meeting assistant that analyses your call quality and generates reports and insights automaticallyFreemiumIntermediateGood choice★ 4.2

Frequently asked questions

What's the best AI for transcribing a research interview?

Otter.ai is the gold standard for transcribing interviews, with good speaker identification and clean text export. Fireflies.ai is a solid alternative if you already record interviews on video call.

Can AI distinguish speakers in a multi-voice interview?

Yes: Otter.ai, Fireflies.ai and Read AI attribute each turn to a distinct speaker, which makes qualitative coding easier later. tl;dv does the same for interviews conducted on video call.

You work as researcher and want to automate “transcribing interviews”?

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