Search research interviews and recordings without leaving your laptop

The research recording problem

A modest interview study can mean thirty hours of audio. Transcribing it by hand takes weeks. Paying a service is faster but may conflict with your consent forms or data management plan, which often limit where identifiable recordings can be stored or processed.

Then comes analysis. Coding software is built for tagging text once you have it. It is less helpful for the earlier, messier question of “did anyone else say something like this?” across a pile of recordings.

Lecture captures, conference talks and recorded seminars pile up alongside the interviews, and they raise the same question: where was that said?

Common routes and their trade-offs

• Manual transcription. Most control and closest reading of the data, and the slowest by far.
• Professional or cloud transcription. Fast, but the recordings go to a third party, which some ethics approvals rule out or require extra agreements for.
• Scripted local transcription. Private, but a researcher ends up maintaining scripts instead of doing research, and the output is plain text without speaker labels or a way back to the audio.

How MediaFind fits a study

MediaFind transcribes each recording on your computer with word-level timestamps and speaker labels, then indexes it for search by meaning. Point it at the study folder and it handles common audio and video formats.

That makes exploratory questions quick. Search “participants describing trust in their doctor” and you get ranked moments across every interview, each linked to the second it was said. Filter to one speaker, or find every mention of a named place or organization. Ask, the on-device assistant, can answer a question across the whole set and lists the files and timestamps it drew on.

• Per-file summaries and chapters help you get oriented in a long focus group.
• Export transcripts as Word, PDF or plain text for your coding software.
• Tags, categories and saved searches are free; with Pro, collections let you group recordings by study or cohort.

What an exploratory session looks like

The point is not to automate analysis. It is to spend less time locating material and more time interpreting it, with every excerpt still tied to the exact moment in the recording.

1. Search a theme you expect, such as “cost as a reason for skipping appointments,” and skim the ranked moments across all interviews.
2. Play the strongest few in context to check they mean what the transcript suggests.
3. Search again with different wording to catch participants who framed it another way. Searching by meaning helps here, but it does not replace reading.
4. Tag the recordings that matter, save the search, and export those transcripts for formal coding.

Recordings, notes and slides in one place

Research is rarely just interviews. Recorded talks, lecture captures and photos of whiteboards or slides are indexed alongside them, with the text in images searchable. Memory can bring in a folder of Markdown notes, such as an Obsidian vault, so your field notes and memos sit next to the recordings and turn up in the same searches. Chats and notes don't count toward the free plan's ten media files.

Data handling

Nothing is uploaded: transcription, search and Ask run on your machine, with no account, and after the models download once it works offline. That keeps the tool itself from being the weak point in your data plan. It does not replace your institution's rules on storage, encryption and retention, so check those against where you keep the files.

Machine transcripts are a draft. For verbatim analysis, review each transcript against the audio.

Frequently asked questions

Can I transcribe research interviews without sending them to a cloud service?

Yes. MediaFind transcribes on your computer and needs no account. The only network use on the core path is a one-time model download.

Does MediaFind replace qualitative coding software?

No. It helps you transcribe, search and explore recordings. Export transcripts as Word or text and code them in the tool you already use.

Can it tell participants apart in a focus group?

Speaker diarization labels who is talking, and you can name voices. Overlapping speech is hard for any system, so check labels in busy stretches.

Can I search my field notes alongside the recordings?

Yes. Memory imports text files and folders of Markdown notes, and they appear in searches next to your media.