For academics, market researchers & PhD candidates

From interview to insight without hours of typing.

Qualitative research in a fraction of the time. ForgetLess transcribes focus groups, in-depth interviews and lectures, recognises speakers automatically, and exports in formats that drop straight into your analysis tool.

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No credit card requiredEU servers, GDPR-proofFull ownership of your data

In practice

Where do you use ForgetLess?

Concrete situations where researchers save time every day with our tool.

In-depth interviews

Upload the recording of your one-to-one and get a complete transcript with per-sentence timestamps — ready to code or quote in your report.

Focus groups

Speaker recognition automatically separates up to ~10 participants. Rename labels per person and export to NVivo, Atlas.ti or Excel for analysis.

Lectures & seminars

Turn a seminar or lecture into a searchable transcript with automatic summary. Translation included if the speaker uses a different language.

International data

Work with respondents in any language. Transcribe in 50+ languages and translate to English or Dutch in one click for analysis.

What makes the difference

Features that really matter for researchers

Analysis-friendly exports

Download as plain text, Word, PDF or CSV with timestamps and speakers — ready for NVivo, Atlas.ti or manual coding.

Up to ~10 speakers recognised

Automatic separation in focus groups or panel discussions, with freely renamable labels per speaker.

Highlight & code

Highlight meaningful fragments with your own colour codes and export them as a separate quote list for analysis.

GDPR & ethics-friendly retention

EU-based servers, no training on your data, audio deletable straight after transcription. Compatible with most IRB and ethics-board requirements.

AI chat with your dataset

Ask research questions of your transcript: “What themes do respondents mention about sustainability?” — with a reference to the exact passage.

Folders per project

Organise transcripts by study or work package. With colour, icon and instant search-and-filter.

“For my doctoral research I had 28 interviews. That used to be months of typing — now everything is in my analysis tool within a week, with speaker labels and per-fragment timestamps.”

General observation from user research with researchers · Try it yourself for free

Frequently asked questions

Specifically for researchers

Which export formats do you support for qualitative analysis?

We export to Word (.docx), PDF, plain text (.txt) and CSV with columns for timestamp, speaker and utterance. That imports straight into NVivo, Atlas.ti, MAXQDA or a spreadsheet for manual coding.

Can I use this under GDPR and my institution’s ethics guidelines?

Yes — servers are in the EU, your data is never used for model training, and you can delete the audio immediately after transcription. We do recommend listing the tool explicitly in your informed consent and data management plan. A Data Processing Agreement (DPA) is available on request.

How do you handle respondent anonymisation?

In the editor you can rename speaker labels to codes (R1, R2, P3-female-40-50) and highlight or redact specific passages. You can also replace full names with search-and-replace before exporting.

Can I upload large files of several hours?

On Pro and Pro+ plans you can process recordings of several hours in one go. For exceptionally long recordings it sometimes makes sense to upload in segments — it keeps feedback per fragment more manageable.

Does speaker recognition work in focus groups with overlap?

Automatic diarization separates up to ~10 speakers. With heavy overlap some correction is sometimes needed, but you get a solid baseline. Renaming labels (P1 → “Female 35–45”) takes seconds.

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