Turn an interview recording into an accurate, quotable transcript: for journalism, research, hiring or content. Upload the audio or video and get the text back in minutes. No account, 10 recordings a day.
No account. 10 recordings a day. Others give you three files a day and call it unlimited. Files up to 60 minutes here, and it resets at midnight.
Plain transcript and subtitles right here. Bleeping, translation, burned-in subtitles and files over 90 MB live in the full tool.
Transcribe audio now →Transcribing an interview by hand takes hours. ScribeGrab does it in minutes so you can pull exact quotes, code qualitative research, or review a candidate's answers as text. The transcript is yours to download as TXT.
Think of it as an interview transcript generator without the software: nothing to install, nothing to sign up for, just a transcript. Upload the recording and you get a transcript of an interview back as plain text, ready to quote from. It's interview transcription software in the sense that it does the job — just running in a browser tab instead of on your hard drive, so there's no transcribe interview app to download either.
Most interview transcribing software wants a subscription before you've even tried it. This one doesn't ask — open it, upload the file, download the text.
Clear one-on-one interviews transcribe very accurately; talking over each other is harder, so check those parts. A close-mic'd voice with harsh S and T sounds can also trip up recognition — CleanGrab's sibilance remover softens that before you transcribe. Did the interview happen outside — a street vox pop, a doorstep or an on-location shoot? Wind roaring across the mic is one of the fastest ways to wreck a transcript, and CleanGrab's wind noise remover takes the edge off before you run it through here. Interviews are sensitive, so your file is deleted right after processing and wiped within 45 minutes (24 hours if you bought a month pass — that longer window is part of what the pass is for), nothing kept or shared. See privacy and accuracy.
The reason journalists and researchers transcribe interviews isn't convenience, it's defensibility. A quote you can point to in the recording is a quote you can publish. A quote you half-remember is a liability, and no amount of AI accuracy changes that: the transcript is a working document, not evidence.
So verify before you quote. The click-to-play transcript on the results page makes this cheap: click any line and it plays that exact moment of the audio. Do it for every sentence that will appear between quotation marks, and do it especially for numbers, dates, names and anything negated. "We did not approve the budget" and "we did approve the budget" differ by one short word, and one short word is the kind of thing speech recognition drops when someone speaks quickly. Keep the SRT file too, because it carries a timestamp on every line: a quote with a timestamp beside it in your notes is one you can re-check months later without listening to the whole recording again.
The speaker labels are what make an interview transcript usable at all. ScribeGrab separates the voices automatically and marks them Speaker 1, Speaker 2 and so on, so an interviewer's question and the answer to it don't dissolve into one paragraph. Replace the labels with real names once, at the top, and the whole document becomes quotable. Two cautions worth taking seriously: labels are estimated from voice characteristics rather than from any participant list, so speakers with similar voices can be merged, and where two people talk over each other the line usually goes to whoever was louder. Both failures cluster at handoffs, which is exactly where an attributed quote goes wrong, so check the label at the start and end of anything you plan to use.
Recording law varies more than people expect and it isn't a technical question, so treat this as the practical shape of it rather than legal advice. In much of Europe, including the Netherlands, a participant in a conversation may generally record it, but publishing or sharing that recording is a separate matter and personal data rules still apply. Several US states require the consent of everyone on the call, not just one party. Professional codes often go further than the law: journalism and academic ethics boards typically require explicit, recorded consent regardless of jurisdiction.
The workable habit is simple and costs ten seconds: ask on the recording. Start by stating that you're recording, why, and what you'll do with it, and let the answer be part of the file. It settles the question permanently and it's the first thing any editor or ethics reviewer will look for. If the interview is remote, say it before the substance begins rather than at the end.
On our side, the handling is deliberately boring. Your upload is deleted the moment processing finishes, and the transcript and subtitle files are wiped from the server within 45 minutes (24 hours if you bought a month pass — that longer window is part of what the pass is for) — long enough to download them, short enough that there's nothing sitting around afterwards. There's no account, so there's no profile to attach an interview to and nothing to delete later, and nothing you upload is used to train anything. Transcription runs on our own GPU hardware, not through a third-party transcription API. For a sensitive interview that's the relevant detail, and the privacy policy spells out the retention in full.
Got the interview questions as a PDF instead of text? ScanReviver's PDF to Word converts it to an editable .docx first, so you can drop the answers straight in alongside the transcript.
By Sam Ridder — I build and run ScribeGrab on my own hardware, on my own. Who I am.
Very accurate on clear speech, but always proofread a quote before you publish it, especially names and technical terms.
Yes. When it hears more than one voice, it automatically splits the transcript into speaker turns — up to eight speakers — so you get Speaker 1 / Speaker 2 style labels without switching anything on.
Up to 60 minutes and 1.5 GB per file, 10 recordings a day.
No, it's not kept. The file is deleted right after processing; results wiped within 45 minutes (24 hours if you bought a month pass — that longer window is part of what the pass is for).
Upload the recording as MP3, M4A, WAV or a video file — up to 60 minutes and 1.5 GB — and it comes back as a full text transcript in a couple of minutes, ready to search and quote from. No account needed.
Record clearly, then upload the file to ScribeGrab. Read the transcript back once — especially names and technical terms — before quoting from it.
ScribeGrab transcribes the speech and labels each speaker automatically. For publishable quotes, proofread the passages you plan to use.
Upload the interview recording to ScribeGrab — it's free, no account needed, up to 60 minutes per file — and download the transcript as TXT.
One mic per person if you can, or a single phone placed between you both rather than near just one speaker — the model handles a bit of room noise fine, but two voices at very different volumes is what usually costs you a word or two.
It's the interview's speech written down as text, ideally with each speaker labelled and lined up to a timestamp so a quote can be checked against the original recording.
Just the words, by default: what was said, by which speaker, and when. It doesn't summarise, interpret or clean up filler on its own — that's a separate step you do afterward if you need it.
Start from the transcript, not your memory of the conversation: pull the exact quotes you'll use, group them by theme, and write the connecting text around them. A transcript with speaker labels and timestamps makes this a lot faster than replaying the recording.
Same approach as any interview report: transcribe the recording first, then build the write-up around verified quotes rather than paraphrasing from memory, which is where most reporting errors creep in.
Not as a phone app to install — ScribeGrab is a website, so there's nothing in an app store. Whether you're after a transcribing interviews app or an interview transcription app, opening the site in any browser does the same job.
Read the transcript once for the throughline, then pull the handful of points and quotes that actually matter — a transcript with timestamps makes it easy to jump back and re-check anything before it goes in the summary.
Up to 60 minutes and 1.5 GB per file, 10 recordings a day, free either way.
Ten a day, every day, resetting at midnight — not a one-time offer.
Yes — it labels up to eight distinct voices automatically as Speaker 1, Speaker 2 and so on.
It's free up to 60 minutes a file, where most paid services charge per minute.
Yes — a phone recording uploads the same as any other audio file.
Yes, upload the file above and the transcript comes back in a couple of minutes.
It depends more on the recording quality than the tool — a free option is still worth trying first.
The example above shows a short voice memo transcript; interviews come back in the same plain-paragraph style.
Yes — upload a video file and the audio track transcribes the same way as a plain recording.
Good on clear turns; crosstalk where both speak at once is harder for any speech model.
No — the whole process runs in the browser tab, nothing to download first.
Yes — the transcript is plain text you can code or analyse in whatever software your project uses.
Not for the words themselves — the full transcript replaces hand notes; you still add your own analysis.
Yes — WAV and MP3 from an older recorder upload and transcribe the same as anything else.
Yes, plenty of students use it this way — just proofread names and technical terms afterward.
Yes — SRT and VTT with timestamps come free alongside the plain transcript.
Roughly two minutes of processing per hour of audio.
No card, no account — just upload and download.
Yes — around 100 languages are detected automatically, free either way.
No — up to 10 separate recordings a day, each free.
On clear audio, yes — always give names and figures a quick check before quoting.
Yes — SRT and VTT come with every upload, free, alongside the plain TXT.
Reasonably — the model focuses on speech, though heavy background noise still makes it harder.
Upload the recording, download the transcript, then code or annotate it in your own research software.
The plain TXT export drops straight into qualitative analysis software without reformatting.
Every spoken word comes through verbatim, which is the baseline most qualitative methods require before coding begins.
The full verbatim transcript is exactly what thematic analysis starts from.
It downloads as TXT, SRT and VTT; pasting the TXT into Word or a PDF tool is a separate step.
Ten uploads a day, each up to 60 minutes, resetting at midnight.
Yes, up to eight distinct voices get separate speaker labels automatically.
Nothing — free up to 60 minutes and 1.5 GB per file.
Yes — any device with a browser and an upload button works the same way.
Just the daily cap of 10 recordings — no watermark, no account, no per-minute charge.