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
Usado por equipes em todo o mundo
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
Grave sua Sessão
Use qualquer dispositivo ou software de gravação. Envie arquivos de áudio ou vídeo em qualquer formato, ou cole o URL de uma gravação hospedada.
A IA Transcreve com Precisão
Nossa IA identifica os locutores, adiciona marcações de tempo e lida com a terminologia acadêmica. O jargão técnico, os nomes próprios e o vocabulário especializado são transcritos com exatidão.
Exporte para seu Fluxo de Trabalho
Baixe em TXT, SRT ou VTT. Importe diretamente no NVivo, Atlas.ti, MAXQDA ou na sua ferramenta de análise qualitativa preferida.
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
Sim. Nossas transcrições incluem marcações de tempo e etiquetas de locutor adequadas para pesquisa qualitativa. Recomendamos verificar trechos-chave em relação ao áudio original para publicações revisadas por pares.
Sim. Exporte as transcrições como arquivos TXT ou SRT que são importados diretamente no NVivo, Atlas.ti, MAXQDA e outras ferramentas de análise de dados qualitativos.
Nossa IA é treinada com conteúdos diversos, incluindo aulas acadêmicas e apresentações de pesquisa. A precisão é maior com áudio nítido e configurações de microfone padrão.
Sim. A diarização de locutores identifica e rotula automaticamente os diferentes participantes. Funciona bem para grupos focais de até 8 a 10 locutores distintos.
Nosso plano gratuito inclui 10 minutos de transcrição por mês. Para necessidades acadêmicas maiores, fale conosco sobre os preços institucionais para departamentos e grupos de pesquisa.
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.
10 free minutes monthly · No credit card · Cancel anytime