Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Persian Video to text
Upload an audio or video file — or paste a public link — and Subanana returns a readable transcript with speakers separated and punctuation restored, not a wall of unbroken text. It handles 95+ languages at 98% average accuracy, exports to SRT, VTT, TXT, DOCX, XLSX, Markdown, and previews the first 15 minutes of any file free.
Accurately transcribe Persian video content into structured and readable text. 98% accuracy.
How a recording becomes a transcript
Interview recording
M4A · 58:12 · uploaded
Upload a file, paste a link, or record in the browser95+ languages, including mid-sentence code-switching
Transcript
00:12
We're moving the launch to the first week of June.
00:47
Fine — but the pricing page has to be final by then.
Transcript
TXT · DOCX · XLSX · Markdown
Subtitles
SRT · VTT
Translation
95+ languages
Summary
Key points · action items
Answers
Ask the transcript anything
Why teams hand their recordings to Subanana
Not a feature list — the things that decide whether a transcript is usable without listening again.
A transcript you can read, not decode
- Speakers separatedEvery line carries who said it, identified automatically.
- Punctuation and paragraphsRestored automatically, so the text reads as prose — not as one unbroken wall.
- Tidied textFiller words are cleaned away while the meaning stays untouched.
- Ask the transcriptQuestion the recording in the editor and get answers grounded in what was said.
Accuracy that is engineered, not promised
- The best model per languageModels are benchmarked continuously; each file goes to the top performer for its language.
- Hallucination detectionSuspect output is caught and re-processed by another engine before it reaches you.
- Your terms, spelled your wayPin names, products and jargon in a glossary that applies across your projects.
- Propose-and-confirm fixesAI proofreading suggests corrections for misheard words; nothing changes until you approve.
Who turns speech into text here
The flow is the same — what differs is the deliverable: a transcript, minutes, subtitles or a summary.
Videos & podcasts
Creators
One transcript becomes subtitles, show notes and quotable lines, ready for every platform you publish on.
Interviews
Journalists & researchers
Quotes must be verbatim and attributed to the right speaker — and ready well before the deadline lands.
Lectures
Students & educators
Long recordings arrive summarized and searchable, so revision starts at the point that actually matters.
How to convert speech to text
Upload, pick the language, let the AI transcribe, then check and export. Everything happens in the browser.
- Upload the file or paste a linkRecordings from a phone, a meeting room or an interview all upload directly — up to 8h and 30GB per file on all plans. Public YouTube, Instagram and Facebook links work too.
- Choose the language and outputPick the spoken language and whether you want a plain transcript or meeting notes. A translation into another language can be added at the same time.
- Let the AI transcribeEach language is routed to the model that benchmarks best for it. Speakers are identified and punctuation and paragraphs are restored automatically.
- Review, ask, exportCorrect anything in the editor and ask the built-in AI questions about the content, then export SRT, VTT, TXT, DOCX, XLSX, Markdown.
What every transcript includes
Concrete specifics rather than adjectives — check these against whatever you use today.
- Input
- Audio and video files, or a public YouTube / Instagram / Facebook link
- Accuracy
- 98% average
- Languages
- 95+, including mid-sentence code-switching
- Structure
- Speaker labels, punctuation and paragraphs restored automatically
- Export formats
- SRT, VTT, TXT, DOCX, XLSX, Markdown
- Free tier
- First 15 minutes of each file, 3 files a month
Persian Video to Text Software powered by AI in 2026
Understanding Persian Video to Text: A Comprehensive Guide for Content Creators
In the ever-evolving digital landscape, content creators constantly seek innovative tools to enhance their workflow, reach broader audiences, and engage viewers more effectively. Subtitling and transcription services have emerged as indispensable tools in this context, enabling creators to make their content accessible and searchable. Among the many languages that pose unique challenges in this domain, Persian stands out due to its rich linguistic heritage and specific technical requirements. This article delves into the nuances of converting Persian video to text, offering insights and guidance tailored for content creators.
The Importance of Persian Video to Text Conversion
With over 110 million speakers, Persian is a significant language in regions spanning Iran, Afghanistan, and Tajikistan. As digital content consumption rises in these areas, the demand for localized content that resonates with native speakers grows. Here’s why converting Persian video to text is crucial:
1. Accessibility: Subtitles make video content accessible to the hearing impaired and non-native speakers, broadening your audience base.
2. Searchability: Transcriptions improve search engine optimization (SEO), allowing your content to be discovered more easily via search engines.
3. Engagement: Viewers are more likely to engage with content that they can understand quickly, especially when subtitles or transcripts are available.
4. Cultural Relevance: Localized content reflects cultural nuances, enhancing viewer connection and satisfaction.
Challenges in Persian Video to Text Conversion
Converting Persian video to text presents unique challenges:
1. Script and Syntax: Persian uses the Perso-Arabic script, which is written from right to left. Its syntax and grammatical structure differ significantly from languages that use the Latin alphabet.
2. Dialect Variations: Persian has several dialects, including Farsi, Dari, and Tajik, each with phonetic and lexical differences that can affect transcription accuracy.
3. Technical Limitations: Many transcription tools are optimized for widely spoken languages, which may lead to inaccuracies in Persian transcriptions.
4. Quality of Audio: Poor audio quality can significantly affect the accuracy of automated transcription tools, necessitating manual corrections.
Best Practices for Effective Persian Video to Text Conversion
To overcome these challenges and ensure high-quality transcriptions, content creators should consider the following best practices:
1. Choose the Right Tool: Opt for transcription software that supports Persian language and offers high accuracy. AI-based SaaS platforms are continually improving, and selecting one that incorporates Persian language processing will yield better results.
2. Manual Review and Editing: Even with advanced tools, a manual review is crucial. Native speakers should verify the transcription to ensure it captures the essence and nuances of the spoken content.
3. Invest in Quality Audio: Clear and high-quality audio recordings facilitate more accurate automated transcriptions. Avoid background noise and ensure speakers articulate clearly.
4. Understand Cultural Context: Transcribers should be familiar with cultural references and idiomatic expressions unique to Persian, as these can significantly affect the meaning and context of the transcription.
5. Leverage Professional Services: When accuracy is paramount, consider hiring professional transcription services that specialize in Persian. This ensures that dialectal variations and cultural nuances are correctly interpreted.
Tools and Technologies for Persian Video to Text
Several tools can assist in converting Persian video to text. Here are a few options:
1. AI-Powered SaaS Platforms: These tools leverage machine learning algorithms to provide real-time transcription and subtitling capabilities. They are ideal for high-volume needs and provide scalability.
2. Hybrid Solutions: Combining automated transcription with human editing can offer a balance between efficiency and accuracy. This approach is particularly effective for complex projects.
3. Open-Source Software: For content creators on a budget, open-source transcription tools can be customized to support Persian language processing, though they may require technical expertise to set up.
Conclusion
Converting Persian video to text is a valuable process for content creators aiming to enhance accessibility, engagement, and searchability of their content. By understanding the challenges and best practices associated with Persian transcription, creators can effectively reach Persian-speaking audiences and ensure their content resonates culturally and linguistically. Leveraging the right tools and technologies, and maintaining a commitment to quality, will empower creators to navigate this complex yet rewarding aspect of content creation.
Questions we getFrequently asked questions
Accuracy averages 98%. Clarity, background noise and jargon all affect it, and a custom glossary noticeably improves proper nouns.
Up to 8h and 30GB per file on all plans. On the free plan you can preview the first 15 minutes of each file, 3 files a month.
Yes. Speakers are identified automatically and labelled throughout the transcript. You can set the number of speakers yourself or let it be detected.
SRT, VTT, TXT, DOCX, XLSX, Markdown, or all of them at once as a ZIP. DOCX suits interview transcripts; XLSX suits anything you plan to sort or filter.
Yes. Voice memos and meeting recordings from iPhone or Android upload directly — no software to install. Recording close to the speaker and away from background noise gives the best result.
No. Recordings and transcripts are never used to train models, in any processing mode. Data is stored encrypted, key details are de-identified, and every access is logged.
Questions we getFrequently asked questions
Accuracy averages 98%. Clarity, background noise and jargon all affect it, and a custom glossary noticeably improves proper nouns.
Up to 8h and 30GB per file on all plans. On the free plan you can preview the first 15 minutes of each file, 3 files a month.
Yes. Speakers are identified automatically and labelled throughout the transcript. You can set the number of speakers yourself or let it be detected.
SRT, VTT, TXT, DOCX, XLSX, Markdown, or all of them at once as a ZIP. DOCX suits interview transcripts; XLSX suits anything you plan to sort or filter.
Yes. Voice memos and meeting recordings from iPhone or Android upload directly — no software to install. Recording close to the speaker and away from background noise gives the best result.
No. Recordings and transcripts are never used to train models, in any processing mode. Data is stored encrypted, key details are de-identified, and every access is logged.
Updated 2026-02-12