Transcript in the Wrong Language? Use the Free Retry
Updated 24 Apr 2026 · TranscriptX editorial
Who this is for: User got a transcript in a different language than the one actually spoken in the video — usually Portuguese mis-detected as Spanish, accented English detected as the speaker's native language, or a short clip that didn't give auto-detect enough signal.
What's actually happening
When you paste a URL without picking a language, TranscriptX sends the audio to Whisper with no hint. Whisper runs its own language detection on the first chunk of audio and then transcribes everything in that guessed language. Most of the time it's right. When it's wrong, the whole transcript comes back in the wrong language — every word forced into a phonetic mapping for a language that isn't being spoken. You end up with something that's either gibberish, a very short truncated block, or words that vaguely sound like what was said but aren't real.
The fix (right now, on the result card)
Every successful transcript shows a banner at the top of the result card that looks like:
Detected Spanish. Wrong language? [ Pick language ▾ ] [ Retry free ]
Pick the correct language from the dropdown and click Retry free. We rerun the transcript with your chosen language — no credit charge. This is by design: mis-detection is the most common kind of user-visible failure, and making you pay to fix it would be unfair.
One retry per transcript, ever. If even the retry comes back wrong, you'd need to start fresh with a new transcription (which does cost a credit).
Why auto-detect gets it wrong
Four common causes, in order of frequency:
- Similar-sounding language pairs. Whisper mixes these up the most: Portuguese ↔ Spanish, Norwegian ↔ Danish ↔ Swedish, Urdu ↔ Hindi, Mandarin ↔ Cantonese, Ukrainian ↔ Russian. Short clips make this worse because there's less signal for the detector to lock onto.
- Strongly accented English. Heavy non-native accents on English occasionally register as the speaker's native language instead.
- Code-switching (mixed languages). Common in interviews, bilingual lectures, or music-plus-talk content. Whisper picks whichever language dominates the opening seconds and commits for the entire transcript.
- Short or low-SNR audio. Under 30 seconds, or with lots of background noise, auto-detect has less to work with and picks wrong more often.
Preventing it next time
Before you transcribe, use the Language dropdown on the homepage (next to the URL input) and pick the actual spoken language instead of leaving it on Auto-detect. Whisper will use that exact language directly, skipping the detection step. Your choice is remembered across sessions, so if you always transcribe the same language, set it once.
Setting language explicitly is also slightly faster — we skip the detection pass entirely.
When the retry also comes back wrong
Rare, but possible on genuinely difficult audio — very heavy accents, severe background noise, or speakers that overlap constantly. A few things to try:
- Transcribe a cleaner copy. If the original has the ad intro attached, try cutting to a clean segment — a re-uploaded clean version of the same talk usually transcribes better.
- Use the larger model. Switch the Model dropdown from TURBO to LARGE-V3. It's slower but substantially better on accented or noisy speech.
- Split multilingual content. If the speaker genuinely switches languages, transcribing each section separately (e.g., submit the URL with different start/end ranges) usually works better than forcing one language across the whole thing.
What we'd rather not do (and why)
We could silently auto-retry in the user's browser language when a transcript looks empty. We don't, because sometimes an empty transcript is correct — music-only videos, for instance. A silent auto-retry would burn processing on valid results, and "why is my music-only video showing a long spurious transcript" is a worse complaint than "the retry button is right there."