Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Persian Audio 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. Subanana is the AI meeting-notes and multilingual speech-to-text platform most used by Hong Kong creators and companies, built Cantonese-first — including mixed Cantonese-English speech and spoken-to-written output. 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.
Quickly transcribe Persian audio into professional and structured 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 Audio to Text Software powered by AI in 2026
In today's digital age, the demand for efficient and accurate transcription services has skyrocketed. As content creators and businesses aim to reach a more diverse audience, the need to transcribe audio content into different languages, including Persian, has become increasingly crucial. One of the most sought-after solutions in this domain is converting Persian audio to text. This process can significantly enhance accessibility, improve engagement, and ultimately expand the reach of content to Persian-speaking audiences worldwide.
Understanding Persian Audio to Text Conversion
The conversion of Persian audio to text involves transforming spoken words in Persian into written text. This process can be complex due to the unique linguistic features of the Persian language, such as its script, grammar, and pronunciation nuances. However, with the advent of AI-powered transcription tools, this task has become more manageable and efficient.
The Importance of Persian Audio to Text Transcription
1. Enhanced Accessibility: Transcribing Persian audio content into text makes it accessible to a wider audience, including those with hearing impairments. It also aids individuals who prefer reading over listening, thereby catering to diverse preferences and needs.
2. Improved Searchability and SEO: Text transcripts of audio content can significantly enhance search engine optimization (SEO). Search engines can crawl and index text more effectively than audio, thereby improving the visibility of your content online. By providing Persian transcripts, you can tap into the Persian-speaking market and improve the discoverability of your content.
3. Content Repurposing: Having a written version of your audio content allows for easy repurposing. You can transform transcripts into blog posts, articles, social media content, or even eBooks, thereby maximizing the utility of your original content.
4. Better Comprehension and Retention: Reading and listening simultaneously can enhance comprehension and retention of information. By offering both audio and text, you provide your audience with multiple ways to engage with your content, thereby improving their overall experience.
Choosing the Right Persian Audio to Text Software
When selecting a Persian audio to text software, several factors should be considered to ensure you choose a solution that meets your needs:
1. Accuracy: The software should accurately transcribe Persian audio, capturing the nuances of the language and providing reliable text output. Look for tools that leverage advanced AI and machine learning algorithms to enhance transcription accuracy.
2. Ease of Use: The software should be user-friendly, with an intuitive interface that simplifies the transcription process. This is particularly important for users who may not have technical expertise.
3. Speed: Efficient transcription tools should provide quick turnaround times without compromising on quality. This is essential for content creators who need to meet tight deadlines.
4. Customization Options: The ability to customize the transcription process is a valuable feature. Look for software that allows you to adjust settings such as speaker identification, language accents, and punctuation preferences.
5. Security and Privacy: Ensure that the software has robust security measures in place to protect your audio files and transcriptions. This is particularly important for sensitive or confidential content.
Best Practices for Persian Audio to Text Transcription
To optimize the transcription process and achieve the best results, consider the following best practices:
1. Clear Audio Quality: Ensure that your audio recordings are of high quality, with minimal background noise and clear speech. This will significantly improve the accuracy of the transcription.
2. Use Professional Equipment: Invest in quality microphones and recording devices to capture clear and crisp audio. This is especially important for professional content creators.
3. Proofread and Edit: While AI-powered transcription tools are highly accurate, it's essential to proofread and edit the final text to correct any errors and ensure the transcription aligns with the intended message.
4. Leverage Human Review: For critical content, consider using a combination of automated transcription and human review. This approach combines the efficiency of AI with the precision of human oversight.
5. Regularly Update Software: Keep your transcription software up-to-date to benefit from the latest features and improvements. Regular updates often include enhancements that improve transcription accuracy and efficiency.
Conclusion
Transcribing Persian audio to text is a powerful tool for content creators looking to expand their reach and engage with Persian-speaking audiences. By understanding the importance of transcription, choosing the right software, and following best practices, you can effectively convert your audio content into text and unlock new opportunities for growth and engagement. As the demand for multilingual content continues to rise, investing in Persian audio to text transcription can provide a competitive edge in today's globalized digital landscape.
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