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SPECIFICTION
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Translate.Video vs Whisper

Translate.Video

translate.video

Whisper

github.com

Side by side

FigureTranslate.VideoWhisper
Price from$9/mo$0.01/mo
Free planYesYes
Free trialYes—
Open source—Yes
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published83
Spec score · AI Video Caption Generators8.8 (#16)9.5 (#1)
Company foundingLinkedIn lists the Translate Video company as founded in 2018 with headquarters in Barcelona and 2–10 employees.OpenAI was founded in December 2015.
Company legal nameThe service identifies its legal maker as Apex Future Labs Pvt. Ltd.Crunchbase lists the legal name as OpenAI OpCo, LLC and also lists OpenAI LP and OpenAI Group PBC as alternate names.
Intended usersThe pricing page describes Pro as for content creators and small teams, and Premium as for large teams and enterprises.OpenAI describes the open-sourced models and inference code as a foundation for building applications and further research on robust speech processing.
LicenseTerms state that source code, databases and software are owned or licensed by the company and grant only a limited personal license.Whisper's code and model weights are released under the MIT License.
Rating on G2Translate.Video is rated 4.7 out of 5 from 3 reviews.4.4 out of 5 from 52 reviews.
What it doesTranslate.Video provides browser-based video transcription, subtitle translation, dubbing, voice-over and editing.Whisper is a general-purpose speech-recognition model that supports multilingual transcription, speech translation and language identification.

Plans

Translate.Video

  • FreeFree
  • Basic$29 a month
  • Pro$99 a month
  • Premium$299 a month
  • Free PlanFree
  • Basic Plan$9 a month
  • Pro Plan$99 a month
  • Premium Plan$299 a month

Translate.Video pricing →

Whisper

  • Self-hosted WhisperFree
  • Whisper (open-source code and model weights)Free
  • Whisper API$0.01 a month

Whisper pricing →

In their own words

Translate.Video

Translate.Video is a web service for translating videos and preparing captioned or dubbed versions. It offers automated transcripts, closed captions, subtitle generation and translation, dubbing, AI voice-over, and voice recording. The service says it translates videos into 75+ languages and lists 81 supported languages. Users can create a voice clone from 50 seconds of audio, described as speaking 75+ languages. SRT, VTT, and MP4 are among its listed formats. YouTube and Instagram integrations support publishing translated videos; users can manage multiple YouTube channels and add localized Instagram captions and hashtags. Teams can add members, assign roles, and set access restrictions. The listed Basic plan includes 20 dubbing minutes, 20 auto-caption or subtitle minutes, 20 export minutes, and 2 GB of storage for $29 a month. Displayed plans list English-only multi-speaker diarization. Data deletion after cancellation is listed at 14 days for Basic and Pro, and 7 days for Premium.

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Whisper

Whisper is an open-source speech recognition model for transcription, speech translation, language identification, and voice activity detection. Its documented command-line and Python interfaces process audio files, and it can translate speech from multiple languages into English. The repository lists six model sizes—tiny, base, small, medium, large, and turbo—with different speed and memory tradeoffs; stated VRAM needs range from about 1 GB to 10 GB, depending on size. Installation is documented through pip and requires the ffmpeg command-line tool. Rust may be needed if a prebuilt tiktoken wheel is unavailable. The code and model weights are released under the MIT License, with local installation using Python and ffmpeg. Whisper is listed for Linux, macOS, Windows, and self-hosted deployment. OpenAI says it was trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Performance varies widely by language, and it does not outperform models specialized for LibriSpeech. Turbo is not trained for translation; multilingual models are recommended for translating non-English speech into English.

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