Scribie is a hybrid AI + human transcription service that turns audio and video into text with up to 99 percent accuracy. It runs an automated machine transcript first, then routes it through a four-step human pipeline (transcription, review, quality check and proofreading) for manual orders. Scribie supports 100+ accents, exports to DOCX, PDF, SRT and TXT, and offers same-day rush delivery for podcasters, researchers and legal teams.
Scribie pairs automated speech-to-text with a four-stage human review process, hitting 99 percent accuracy on clear audio and 95 percent on heavy-accent calls.
Choose strict verbatim (every uh, false start and laugh captured) or clean read for publishable copy — toggled per file at order time.
Scribie tags each speaker change automatically and lets you rename speakers from the editor before exporting the final transcript.
NDAs are signed by every transcriber on the panel, and files are deleted from worker queues within 30 days of delivery — important for medical and legal use.
Download the finished transcript as DOCX, PDF, TXT, or timed SRT/VTT subtitles for direct upload to YouTube, Vimeo or your video editor.
Review and edit transcripts in the browser with synchronized audio playback, jump-to-timestamp, and inline speaker editing — no extra software.
Order English-to-Spanish, French, German and 30+ other-language translations as an add-on, plus burned-in or sidecar subtitle tracks.
Standard turnaround is 36 hours, with 24-hour, 12-hour and same-day rush tiers available for time-sensitive interview, court or podcast work.
Scribie combines machine-fast AI transcription with multi-stage human review, hitting near-99% accuracy on clean audio. Plans range from a $0.10/min automated transcript to $1.25/min fully manual transcription, with add-ons for verbatim mode, rush delivery, subtitles and translation.
These four short walk-throughs show Scribie in real workflows — uploading a podcast episode, comparing AI vs manual transcripts, generating subtitles, and using the in-browser editor.
Scribie uses per-minute pay-as-you-go pricing for human-powered transcription — no subscription required. The base rate is $0.80/minute for 99% accuracy and 24-hour turnaround. Optional add-ons (strict verbatim, accented speakers, noisy audio, subtitles, poor audio) are $0.50/minute each. Automated transcription was discontinued in April 2023, so all jobs are now human-reviewed through a four-step quality process.
Scribie offers two main pricing tracks: pay-per-minute automated AI transcripts at $0.10/min and per-minute manual human transcripts at $1.25/min. Add-ons are billed separately so you only pay for the languages, rush tiers and subtitle formats you actually need.
Machine-only transcript, 5-minute turnaround, 80–95% accuracy depending on audio quality. Includes basic editor, speaker labels and DOCX/TXT export.
4-stage human-reviewed transcript, 99% accuracy, 36-hour turnaround, choice of verbatim or clean read, included speaker IDs and timestamps.
24-hour, 12-hour and same-day delivery on manual transcripts for time-sensitive depositions, news interviews and podcast publishing.
Volume discounts beyond ~30 hours of audio per month, dedicated account manager, custom NDAs and SOC-2-aligned workflows.
“I have been ordering manual transcripts from Scribie for two years across three different podcasts. Accuracy on multi-speaker interviews is consistently 98%+, the SRT files import cleanly into Descript, and a same-day rush twice saved a launch deadline. Customer service responded inside an hour the one time we needed a partial re-edit. The best price-to-quality in the human transcription space.”
If you are weighing Scribie against other transcription services, the closest alternatives are Rev, Otter.ai, GoTranscript, TranscribeMe and Sonix. Rev is its closest manual competitor at $1.50/min; Otter and Sonix dominate AI-only meeting transcripts; GoTranscript and TranscribeMe undercut on bulk pricing for audio-only files.
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Top Rated Features
Below are the most common questions about Scribie, covering pricing, features, alternatives, and whether it is the right fit for your team.
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