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
Utilizado por equipos en todo el 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
Graba tu Sesión
Usa cualquier dispositivo o software de grabación. Sube archivos de audio o vídeo en cualquier formato, o pega una URL de una grabación alojada.
La IA Transcribe con Precisión
Nuestra IA identifica a los hablantes, añade marcas de tiempo y maneja la terminología académica. La jerga técnica, los nombres propios y el vocabulario especializado se transcriben con exactitud.
Exporta para tu Flujo de Trabajo
Descarga en TXT, SRT o VTT. Importa directamente a NVivo, Atlas.ti, MAXQDA o tu herramienta de análisis cualitativo 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
Sí. Nuestras transcripciones incluyen marcas de tiempo y etiquetas de hablante adecuadas para la investigación cualitativa. Recomendamos verificar los pasajes clave con el audio original para las publicaciones revisadas por pares.
Sí. Exporta las transcripciones como archivos TXT o SRT que se importan directamente a NVivo, Atlas.ti, MAXQDA y otras herramientas de análisis de datos cualitativos.
Nuestra IA está entrenada con contenido diverso, incluidas clases académicas y presentaciones de investigación. La precisión es máxima con un audio claro y configuraciones de micrófono estándar.
Sí. La diarización de hablantes identifica y etiqueta automáticamente a los distintos participantes. Funciona bien con grupos focales de hasta 8-10 hablantes diferenciados.
Nuestro plan gratuito incluye 10 minutos de transcripción al mes. Para necesidades académicas mayores, contáctanos para conocer los precios institucionales destinados a departamentos y grupos de investigación.
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