For qualitative researchers
Analysis starts when transcription ends
Upload an hour of interview audio and get a speaker-labeled, timestamped transcript in under two minutes. Export TXT or DOCX straight into NVivo or MAXQDA, and get on with the part that actually gets cited.
10 free minutes monthly · No credit card
世界中のチームに利用されています
The transcription bottleneck
Your methods section never mentions the typing
Interview corpora take weeks by hand
Manual transcription runs roughly four hours of typing per audio hour. A corpus of twenty interviews can consume a month of research time before analysis begins.
Human transcription services burn grant budgets
Professional services typically charge between one and two dollars per minute of audio. A single focus-group study can cost thousands of dollars before a single code is applied.
Mislabeled speakers corrupt qualitative coding
When speaker attribution is wrong at the transcript stage, every theme derived from it inherits the error. Discovering the problem at the analysis stage means rebuilding the codebook from scratch.
Verbatim, ready to code
From recorder to codebook in under two minutes
Upload the raw interview file and receive a verbatim transcript with speaker labels and precise timestamps. Every utterance is attributed, so you can code directly from the document without returning to the recording.
- Speaker labels attribute every turn automatically, supporting up to 99% accuracy on clear audio
- Timestamps anchor each passage to the recording for systematic verification
- Export to TXT or DOCX for direct import into NVivo, MAXQDA, or Atlas.ti
“I transcribe patient interviews for qualitative research. Speaker labels are accurate and the timestamps make coding data so much faster.”
Triage before deep reading
Scan an hour of interviews before you sit down with them
AI summaries surface the key passages from each recording so you can prioritize your reading before committing to full analysis. The complete transcript remains searchable for any follow-up.
- AI summary highlights key themes and turning points from each interview
- Full verbatim transcript stays available for deep reading and systematic coding
- SRT and VTT exports available for audio and video recordings with subtitles
Multilingual fieldwork
Fieldwork crosses language lines. Your workflow should too.
Transcribe interviews in 99 or more languages and translate the results without leaving the platform. Speaker labels and timestamps carry through regardless of the source language.
- 99+ languages with speaker attribution and timestamping throughout
- Built-in translation for cross-lingual analysis and reporting
- Accented, code-switched, and conversational speech handled by modern AI models
“Perfect for transcribing lecture recordings. The speaker detection handles multiple professors seamlessly. A must-have for students.”
How it works
Three steps between the field and the codebook
セッションを録音
お好みの録音機器やソフトウェアをご利用ください。あらゆる形式の音声・動画ファイルをアップロードするか、ホスティングされた録音のURLを貼り付けます。
AIが高精度で文字起こし
当社のAIが話者を識別し、タイムスタンプを付与し、学術用語にも対応します。専門用語、固有名詞、特殊な語彙も正確に文字起こしします。
ワークフローに合わせてエクスポート
TXT、SRT、VTTでダウンロード。NVivo、Atlas.ti、MAXQDA、またはお好みの質的分析ツールへ直接インポートできます。
The descriptive statistics
“It's so fast and the transcripts are incredibly accurate. I use it daily for my research work. The AI summary feature is a game changer.”
The toolkit
Every tool in the lab is free to try
Methods seminar
Questions from the methods seminar
はい。当社の文字起こしには、質的研究に適したタイムスタンプと話者ラベルが含まれています。査読付きの出版物については、重要な箇所を元の音声と照合することをおすすめします。
はい。文字起こしをTXTまたはSRTファイルとしてエクスポートでき、NVivo、Atlas.ti、MAXQDAなどの質的データ分析ツールへ直接インポートできます。
当社のAIは、学術講義や研究発表を含む多様なコンテンツで学習しています。クリアな音声と標準的なマイク構成のときに最も高い精度を発揮します。
はい。話者ダイアライゼーションが、異なる参加者を自動的に識別してラベル付けします。最大8〜10名の区別可能な話者からなるフォーカスグループでうまく機能します。
無料プランには毎月10分の文字起こしが含まれます。より大規模な学術用途については、学部や研究グループ向けの教育機関向け料金についてお問い合わせください。
Begin the analysis
Spend the grant on fieldwork, not transcription
Preview 10 minutes of transcription with no signup, then keep a free tier of 10 minutes a month. Join 1,300+ satisfied users who type less and code more.
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