Translate Spanish Audio to English: Text, Subtitles & Transcripts (2026)

Upload the Spanish audio (MP3, WAV, M4A) or video file (MP4, MOV) to a transcription tool that supports Whisper's translation mode. VexaScribe: upload → select "Translate to English" → download as TXT, DOCX, SRT (subtitles for video), or VTT (HTML5 web video). Language is auto-detected as Spanish, then Whisper's built-in translation task outputs English directly. Processing takes 5–10 minutes per hour of audio. Free tier: 30 minutes on signup, no credit card.

Text output means you get English words as a written transcript, subtitles (SRT/VTT), or a Word document — you read it or overlay it as captions on the original Spanish video. Dubbed audio means AI generates new English speech that replaces the original Spanish voice — you hear an AI voice reading the English translation aloud. VexaScribe outputs text and subtitles only. For AI-generated dubbed English audio, use ElevenLabs, Maestra, or Rask AI — those specialize in voice cloning and dubbing.

Two stages: Spanish transcription (measured 1.2% WER on clean FLEURS-ES with GPT-4o Mini, 2.9% WER on accented CommonVoice-ES with AssemblyAI Universal-3.5 Pro in our July 2026 benchmark) + English translation (neural MT on Spanish↔English hits 25–35 BLEU on standard test sets — publication-grade). Combined pipeline typically produces 90–96% word-level accurate English text on clean Spanish audio. Accuracy drops on heavy regional slang, poor microphones, background noise, code-switching, and music-heavy audio.

Yes. Whisper Large-v3 was trained on ~11,100 hours of multilingual Spanish audio covering Iberian, Mexican, Colombian, Argentine, Chilean, Caribbean, and other Latin American varieties. Mexican Spanish transcribes strongest (largest training data share). Chilean informal register is the hardest of the majors due to rapid speech and heavy slang. Caribbean varieties transcribe well but rapid speech occasionally causes misses.

Two paths. (1) Use our YouTube transcript tool with translate-to-English enabled — paste the URL, get English subtitles back. (2) Download the Spanish video, upload it here, select translate-to-English. Path 1 is faster for videos with existing captions; path 2 works even when captions are disabled and gives higher accuracy on accented speech via Whisper's re-transcription.

Audio: MP3, WAV, M4A, OGG, FLAC, AAC, AMR, OPUS. Video: MP4, MOV, WebM, MKV, AVI, WMV, FLV. Maximum 5 GB per file — roughly 5 hours of standard audio or 2–3 hours of 1080p HD video. Video files: the audio track is extracted server-side, no ffmpeg step needed on your end.

Yes. Upload the Spanish video, choose translate-to-English, download the SRT (universal subtitle format) or VTT (HTML5 web video). Drop the SRT into Premiere Pro, Final Cut, DaVinci Resolve, or upload directly to YouTube as an English subtitle track. Timestamps are preserved from the original Spanish speech timing.

Google Translate handles text-to-text and short voice snippets in real-time conversation mode. It doesn't accept file uploads longer than a few minutes and doesn't produce SRT/VTT subtitle files. We handle file uploads up to 5 hours, output structured formats (TXT, DOCX, SRT, VTT), and preserve speaker labels when your audio has multiple voices. For a quick spoken phrase, use Google Translate app. For a recorded interview, meeting, or video, use a file-upload tool like ours.

Yes. Whisper's native translation task only outputs English, so for English→Spanish we transcribe in English first, then run neural translation to Spanish. Same input formats, same output types (TXT, DOCX, SRT, VTT). Quality is comparably high on this well-resourced language pair. Note: same as Spanish→English, output is text and subtitles only — for dubbed Spanish audio, use ElevenLabs or Maestra.

Audio files are processed for transcription and translation, then retained only as long as needed to deliver the result. See our privacy policy for full retention and deletion terms. For highly sensitive audio (legal, medical, journalistic sources), the safest option is self-hosted Whisper on your own hardware — free, MIT license, requires Python setup. VexaScribe is a hosted service and audio touches our servers; that trade-off is real. Choose based on your sensitivity requirements.