Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Arabic Transcription
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.
Seamlessly convert Arabic audio into clear, professional text with ease. 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
Arabic Transcription Software powered by AI in 2026
Understanding Arabic Transcription: A Comprehensive Guide for Content Creators
In today's globalized digital landscape, content creators are increasingly reaching diverse audiences across different linguistic and cultural backgrounds. As a result, the demand for effective transcription services, particularly Arabic transcription, is on the rise. This comprehensive guide aims to educate content creators about the nuances of Arabic transcription, its significance, and how to effectively leverage it for engaging with Arabic-speaking audiences.
What is Arabic Transcription?
Arabic transcription involves converting spoken Arabic language audio into written text. This process is essential for various applications, including content creation, media production, education, and business. Given Arabic's status as one of the world's most widely spoken languages, the ability to accurately transcribe it opens up vast opportunities for content creators.
The Importance of Arabic Transcription
1. Expanding Audience Reach
Arabic is the official language of 22 countries and is spoken by over 420 million people globally. By incorporating Arabic transcription into your content strategy, you can effectively reach and engage with a massive audience base, thereby expanding your content's reach and impact.
2. Enhancing Accessibility
Transcription enhances content accessibility by making it available to those who may have hearing impairments or prefer reading over listening. Additionally, providing transcriptions can aid in language learning for non-native Arabic speakers, broadening your audience even further.
3. Boosting SEO and Discoverability
Incorporating transcriptions into your content strategy can significantly enhance search engine optimization (SEO). Search engines cannot index audio content, but they can index text. By transcribing your Arabic audio content, you provide text that search engines can crawl, thereby improving your content's discoverability and ranking on search engine results pages (SERPs).
Challenges in Arabic Transcription
Transcribing Arabic poses unique challenges due to the language's complexity. Here are some critical challenges faced by transcribers:
1. Dialectal Variations
Arabic is characterized by numerous dialects, each with distinct phonetic, lexical, and grammatical features. Transcribers must be equipped to handle these variations to ensure accurate transcription.
2. Linguistic Nuances
Arabic has a rich vocabulary and a complex grammatical structure. Understanding context, idiomatic expressions, and cultural references is crucial for accurate transcription.
3. Script and Formatting
Arabic is written in a script that flows from right to left, and it includes diacritics that alter pronunciation and meaning. Proper formatting and script handling are essential for accurate transcription.
Best Practices for Arabic Transcription
To achieve high-quality Arabic transcription, content creators should follow these best practices:
1. Utilize Advanced Technology
Leverage AI-powered transcription tools that support Arabic language processing. These tools can significantly enhance accuracy and efficiency by employing machine learning algorithms trained on vast datasets of Arabic speech and text.
2. Employ Skilled Transcribers
Engage professional transcribers who are native Arabic speakers and possess a deep understanding of the language's dialects and nuances. Their expertise is invaluable for capturing the intricacies of spoken Arabic.
3. Implement Quality Assurance
Ensure rigorous quality assurance processes are in place. This includes multiple rounds of review and editing to catch any errors or inconsistencies in the transcription.
4. Prioritize Cultural Sensitivity
Be mindful of cultural nuances and sensitivities when transcribing Arabic content. This involves understanding cultural references and ensuring that the transcription respects the cultural context of the audience.
The Future of Arabic Transcription
The future of Arabic transcription is promising, with advancements in AI and machine learning paving the way for more accurate and efficient transcription services. As technology continues to evolve, content creators will have access to increasingly sophisticated tools that can handle the complexities of Arabic transcription with greater ease and precision.
In conclusion, Arabic transcription is a powerful tool for content creators aiming to engage Arabic-speaking audiences effectively. By understanding its significance, challenges, and best practices, content creators can leverage Arabic transcription to expand their reach, enhance accessibility, and improve SEO. As the digital world continues to evolve, embracing Arabic transcription will undoubtedly be a strategic advantage in the global content 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 2026-04-10