Our Methodology

Who we are

TranscribeTube is an AI-powered transcription platform built by a small team of engineers and content specialists. We were founded to close the gap between the huge amount of information locked inside video and audio and the people who need it as searchable, editable text.

Our work is led by founder Salih Caglar Ispirli, a senior full-stack engineer with over a decade of experience building scalable web and cloud systems. You can read his full background, credentials, and published articles on his author page.

How we transcribe

Transcriptions are produced by automatic speech recognition (ASR) models, then formatted into clean, timestamped text, subtitles (SRT/VTT), and AI summaries. We support transcription and translation across 95+ languages.

Accuracy depends on audio quality, accents, and background noise. Our published accuracy figures reflect clear, single-speaker audio in supported languages — they are not a guarantee for every file. For high-stakes use (legal, medical, accessibility compliance) we recommend a human review pass on top of the automated output.

How we create our content

Our guides and blog posts start from real questions our users ask. Before writing, we research what already ranks for a topic, identify what those resources miss, and define exactly what a reader should be able to do after reading.

Statistics and claims are sourced from primary, verifiable references — official documentation, peer-reviewed studies, industry reports, and first-party product data — and we link to the source so you can check it yourself. Every post is reviewed by a named author before publishing, with their byline linked to a full bio.

How we use AI — and how we disclose it

We use AI to assist with research and first drafts. We do not publish unedited AI output. A human edits every piece for accuracy, adds first-hand product knowledge and examples AI cannot produce, and fact-checks claims against the original sources.

AI is a tool in our process, not the author of record. The responsibility for what we publish — and any errors in it — sits with our editorial team, not a model.

Our sources

When a statistic, quote, or comparison appears in our content, the source is named and linked in the article. We prioritize primary sources over aggregators, recent data over stale data, and official documentation over second-hand summaries.

Corrections and updates

We get things wrong sometimes, and we fix them in the open. Every article carries a publish date, and substantive revisions update a visible "last updated" date.

Found an error? Email us at hello@transcribetube.com with the page and the issue. We review reports quickly and correct confirmed mistakes for every reader, not just the person who flagged it.

Independence and transparency

Our reviews, comparisons, and recommendations are based on the product and the evidence — not on payment. A vendor cannot pay to be rated higher or featured. Where any content involves an affiliate link or commercial arrangement, we disclose it.

Our customer rating is an aggregate of real user reviews and reflects the full range of feedback, not a hand-picked average.