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GoTranscript
No file size limit — transcribe depositions, large video files, lectures, and long recordings. AI-powered. No account required. $1 per file + $0.10 per minute.

Website, pricing, platforms and company facts side by side.
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| Website | diffee.me | bigtranscribe.com |
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In their own words, as submitted to SaaSHub.


No description of Diffee yet.
BigTranscribe is an AI-powered transcription service built for one thing the rest of the market handles poorly: large files. While most tools cap uploads at a few GB or a couple of hours, BigTranscribe imposes no file size limit — a multi-hour deposition, a full-day lecture, or an unedited...
What each product offers, as listed by its team.


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As answered by people managing Diffee and BigTranscribe.
BigTranscribe's answer:
BigTranscribe is built around a combination most transcription services don't offer together: no file size limit (so multi-hour depositions, full-day lectures, and unedited podcasts upload as one file), no account or signup required, and pay-per-use pricing with no subscription. Long files are split into segments and transcribed in parallel for fast turnaround, powered by OpenAI Whisper. The privacy architecture is also unusual — uploaded files are deleted within seconds, transcripts live only in server memory and are erased within two hours, nothing is written to disk, and there are no tracking cookies, no analytics, and no human review.
BigTranscribe's answer:
Most transcription services force you to sign up, hand over an email, commit to a subscription, and accept file size or duration limits — even if you only have one big recording to transcribe. BigTranscribe removes all of that: no account, no subscription, no upload limit. You see the exact total price before paying ($1 per file + $0.10 per minute), so a 4-hour deposition costs $25 with no surprises. Privacy is also stronger by design: your files are deleted within seconds of processing, no human reviews your content, OpenAI doesn't train on your audio, and there are no tracking cookies or analytics on the site.
BigTranscribe's answer:
People who need to transcribe long-form recordings occasionally and don't want to commit to a subscription:
Legal professionals transcribing depositions and recorded testimony Educators and students working with full-length lectures, seminars, and recorded classes Journalists and researchers processing long-form interviews and field recordings Podcasters and content creators transcribing unedited episode masters Anyone with a large audio or video file who wants a transcript fast, without signing up for yet another SaaS
The common thread is large file sizes, infrequent or one-off needs, and a preference for privacy and simplicity over feature-bloated subscription tools.
BigTranscribe's answer:
BigTranscribe started from a simple frustration: every AI transcription tool on the market either capped file uploads at a few GB or a couple of hours, required signing up for an account, or locked the basic feature behind a monthly subscription. For people who occasionally needed to transcribe a long recording — a multi-hour deposition, a full-day conference, an unedited podcast — none of the existing tools matched the actual job. BigTranscribe was built to handle that exact case: any file size, no account, pay only for what you transcribe, and a privacy architecture that doesn't keep your content around after the job is done.
BigTranscribe's answer:
Which are the primary technologies used for building BigTranscribe?
AI — automatic speech recognition (transcription engine) ffmpeg — audio extraction from video files Stripe — PCI-DSS Level 1 payment processing Replit — cloud hosting and deployment infrastructure Google Fonts — web font delivery HTTPS/TLS with HSTS preload and a locked-down Content Security Policy for transport security
BigTranscribe's answer:
Your privacy architecture means you genuinely don't know who your customers are. There's no signup, no user database, no email retention on your side, and no analytics. You couldn't list customers even if you wanted to — and any customers you did name would have to have publicly volunteered that they use you. Don't fabricate names here. Public SaaSHub listings get scrutinized, and "claims a customer that doesn't endorse them" is the kind of thing that backfires. Leave it blank for now; come back and fill it in only if a law firm, media outlet, university, or other notable user explicitly agrees to be cited as a customer.
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