Talks & keynotes
Conference teams
One keynote becomes subtitled versions for every region the audience came from.
Persian to English Translation Video
Upload audio or video in one language and get English text back — transcribed and translated in a single pass, with speakers separated and timings preserved. Subanana covers 95+ languages at 98% average accuracy and exports to SRT, VTT, TXT, DOCX, XLSX, Markdown, including a bilingual SRT that keeps both languages side by side.
Accurately convert Persian video audio into English text with high precision. 98% accuracy.
How one recording speaks 95+ languages
Keynote recording
MP4 · 46:05 · uploaded
Transcribed in the original language firstThen translated into the languages you pick
Translation
00:12
Welcome — let's look at this year's results.
00:47
Bienvenue — regardons les résultats de cette année.
Subtitle files
SRT · VTT, per language
Bilingual subtitles
Source + translation together
Burned-in video
Bilingual, up to 4K
Documents
DOCX · XLSX · TXT · Markdown
More languages
Add targets to the same project
Why translations stay faithful to the tape
Machine translation is easy to start and hard to trust. These are the mechanics that make the output dependable.
Translate once, keep the timing
- Several targets in one jobA subtitle project can carry multiple target languages at the same time.
- Cue timing left aloneTranslation changes the words, never the timestamps your subtitles depend on.
- The original stays canonicalCorrect a source line once and the change flows into every translation.
- Bilingual outputSource and translation in one subtitle file, or burned into the video together.
Terms that survive the language change
- Universal or per-language termsMark a name as identical everywhere, or give a market its own spelling.
- Context the translator readsSlides and documents you attach give the translation the background it needs.
- 95+ languages, one listThe same language list serves source and target — no one-way pairs.
- The best model per languageEach language pair is routed to the model that benchmarks best for it.
Who takes one voice to many markets
The recording exists once. The audiences don't share a language — that's the whole job.
Global classrooms
Course teams
Lessons recorded once reach cohorts in other languages with the terminology kept consistent.
International audiences
Creators
Subtitled versions open the same video to viewers your analytics say are already there.
Cross-market editions
Publishers
Interviews and features travel between editions without a re-recording or a retype.
How to translate audio and video
One upload does both jobs: the speech is transcribed in its own language, then translated, so nothing is lost to a second round trip.
- Upload the file or paste a linkAudio and video both work, up to 8h and 30GB per file on all plans. A public YouTube, Instagram or Facebook link can be pasted instead.
- Set the source and target languagesChoose what is spoken and what you want back. Any of 95+ languages can be either, and translation currently costs no extra minutes.
- Transcribe and translate in one passThe audio is transcribed in its original language first, then translated, so the translation works from an accurate transcript rather than from guesswork.
- Review and exportCheck both versions in the editor, then export SRT, VTT, TXT, DOCX, XLSX, Markdown — or a bilingual SRT with the original and the translation together.
What the translation includes
What comes back, and what it costs you in minutes.
- Input
- Audio and video files, or a public YouTube / Instagram / Facebook link
- Language pairs
- Any of 95+ languages, in either direction
- Output
- Translated text, plus the original transcript alongside it
- Bilingual export
- SRT with the source and translated lines together
- Cost
- Translation currently uses no extra minutes
- Free tier
- First 15 minutes of each file, 3 files a month
Best Persian to English Video Translator Software powered by AI in 2026
Understanding Persian to English Video Translation: A Comprehensive Guide for Content Creators
In the rapidly evolving digital landscape, content creators are continually seeking methods to broaden their reach and engage with global audiences. One effective strategy is to provide multilingual content, making your videos accessible to non-native speakers. For creators targeting Persian-speaking audiences or those with Persian content looking to reach English-speaking viewers, understanding Persian to English video translation is crucial. This comprehensive guide aims to educate content creators about the essential aspects of Persian to English video translation, helping them enhance their content's accessibility and impact.
The Importance of Video Translation
Translating video content from Persian to English opens up numerous opportunities for content creators. English is a widely spoken language, and offering translations can significantly expand your audience base. Not only does it enhance the viewer's experience, but it also boosts engagement, shares, and overall visibility on global platforms. Moreover, it positions your content as inclusive and culturally aware, which can establish stronger connections with diverse audiences.
Key Considerations for Persian to English Video Translation
1. Cultural Nuance and Context
- Understanding cultural nuances and context is vital in translation. Persian, also known as Farsi, has rich cultural and historical connotations. Translators must ensure that the translated content reflects these subtleties to maintain authenticity and relevance. Misinterpretations can lead to misunderstandings or even offend your audience, so sensitivity to cultural context is essential.
2. Accuracy and Clarity
- Accuracy is at the heart of effective translation. The translation must convey the original message without distortion. This requires a deep understanding of both Persian and English languages, including idiomatic expressions, slang, and technical jargon. Clarity ensures that the message is easily understood by English-speaking audiences, enhancing the viewer's comprehension and engagement.
3. Technical Aspects of Translation Tools
- Leveraging AI-powered subtitling tools can streamline the translation process, making it efficient and cost-effective. These tools often come with features like automatic speech recognition, machine translation, and text-to-speech capabilities. However, it is crucial to review and edit the AI-generated translations to ensure they meet quality standards. Human oversight is indispensable to refine the translation and ensure it aligns with the original content's tone and intent.
4. Legal and Ethical Considerations
- Content creators must also be aware of the legal and ethical implications of translating video content. This includes respecting copyright laws and obtaining necessary permissions if required. Ethically, translations should aim to represent the original content truthfully and respectfully, without misrepresenting or altering the intended message.
Best Practices for Effective Translation
- Collaborate with Professional Translators: While AI tools are beneficial, collaborating with professional translators who are native speakers can significantly enhance the quality of your translations. They bring a human touch and understanding of cultural nuances that machines may miss.
- Use Quality Control Measures: Implement stringent quality control measures to review and edit translations. This could involve multiple rounds of editing and feedback from native speakers to ensure accuracy and fluency.
- Test Translations with Target Audiences: Before fully deploying translated content, test it with a sample of your target audience. Their feedback can provide insights into the translation's effectiveness and any areas that may require improvement.
- Continuously Update and Refine: Language and cultural contexts evolve over time. Regularly updating and refining your translations ensures they remain relevant and accurate for current audiences.
Conclusion
Persian to English video translation is an invaluable tool for content creators aiming to reach a broader audience. By understanding the cultural, technical, and ethical dimensions of translation, creators can produce high-quality, engaging content that resonates with English-speaking viewers. Through careful planning and execution, your translated videos can break language barriers and foster a deeper connection with global audiences, ultimately enhancing your content's reach and impact.
Questions we getFrequently asked questions
Yes. The audio is transcribed in its original language and then translated, so the translation is built on an accurate transcript. You get both versions, not just the translated one.
95+ languages, in either direction. Mixed-language speech within a single sentence is handled rather than averaged into one language.
Translation currently uses no additional minutes beyond the transcription itself. This is a current pricing detail rather than a permanent guarantee.
Yes. Export a bilingual SRT and each cue carries the original line and its translation together, which is what most publishers want for a second-language audience.
Transcription averages 98% accuracy, and the translation works from that transcript — so recording quality affects both. A glossary of names and product terms is applied before translation, so your vocabulary survives the trip.
No. Recordings, transcripts and translations are never used to train models. Files are stored encrypted and every access, including ours, is logged.
Questions we getFrequently asked questions
Yes. The audio is transcribed in its original language and then translated, so the translation is built on an accurate transcript. You get both versions, not just the translated one.
95+ languages, in either direction. Mixed-language speech within a single sentence is handled rather than averaged into one language.
Translation currently uses no additional minutes beyond the transcription itself. This is a current pricing detail rather than a permanent guarantee.
Yes. Export a bilingual SRT and each cue carries the original line and its translation together, which is what most publishers want for a second-language audience.
Transcription averages 98% accuracy, and the translation works from that transcript — so recording quality affects both. A glossary of names and product terms is applied before translation, so your vocabulary survives the trip.
No. Recordings, transcripts and translations are never used to train models. Files are stored encrypted and every access, including ours, is logged.
Updated 2026-04-10