Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Turkish 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.
Effortlessly transcribe Turkish audio into clear and accurate 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
Turkish Transcription Software powered by AI in 2026
Understanding Turkish Transcription: A Comprehensive Guide for Content Creators
In the rapidly evolving world of digital content, transcription services have become indispensable tools for creators and businesses alike. Whether it's to enhance accessibility, improve SEO, or simply to maintain precise documentation, transcription plays a vital role. Among the various languages, Turkish transcription holds particular significance due to Turkey's growing digital market and its unique linguistic characteristics. This guide delves into the essentials of Turkish transcription, providing content creators with the knowledge and insights needed to effectively utilize this service.
What is Turkish Transcription?
Turkish transcription refers to the process of converting spoken Turkish language into written text. It involves accurately capturing the nuances of the Turkish language, including its specific phonetic elements, grammar, and vocabulary. This service is crucial for content creators who wish to reach Turkish-speaking audiences or need to document Turkish audio and video content.
Why is Turkish Transcription Important?
1. Enhanced Accessibility: By providing transcriptions, content creators ensure that individuals with hearing impairments can access content. This is particularly important in Turkey, where inclusivity in media is gaining momentum.
2. Improved SEO: Search engines cannot index audio content. By transcribing Turkish audio files, creators can increase their visibility on search engines, thereby reaching a wider audience.
3. Content Repurposing: Transcriptions allow creators to repurpose their audio or video content into blogs, articles, or social media posts, maximizing the utility of their original content.
4. Accurate Documentation: For businesses and legal entities operating in Turkey, maintaining accurate records of meetings or interviews in Turkish is crucial. Transcriptions provide a reliable way to document these interactions.
The Challenges of Turkish Transcription
Transcribing Turkish can be challenging due to its linguistic complexities. Here are some hurdles that professionals often encounter:
- Phonetic Complexity: Turkish has a rich set of vowels and consonants that can be difficult to distinguish, especially for non-native speakers.
- Morphological Structure: Turkish is an agglutinative language, meaning words can have numerous suffixes that alter their meaning. This requires a deep understanding of Turkish grammar.
- Dialect Variations: While standard Turkish is widely used, regional dialects can pose challenges for accurate transcription.
Choosing the Right Turkish Transcription Service
When selecting a transcription service, consider the following factors:
1. Accuracy: Look for services that guarantee high accuracy rates. This is crucial for maintaining the integrity of the content.
2. Turnaround Time: Depending on the urgency of your project, opt for services that can deliver within your required timeframe.
3. Security: Ensure that the service provider has strict data protection measures to safeguard your content.
4. Cost: Compare pricing models to find a service that fits your budget without compromising quality.
Tips for Effective Turkish Transcription
- Use Quality Audio: The clearer the audio, the more accurate the transcription. Invest in good recording equipment to minimize background noise.
- Provide Context: When possible, give transcribers context about the content. This helps them understand and accurately transcribe industry-specific jargon or unique names.
- Review and Edit: Always review the transcribed text for errors. Even the best services can occasionally miss subtle nuances.
Conclusion
Turkish transcription is a powerful tool for content creators aiming to expand their reach and improve their content's accessibility. By understanding the intricacies of the Turkish language and choosing the right transcription service, creators can effectively engage with Turkish-speaking audiences and enhance the overall quality and reach of their content. As digital content continues to grow, the demand for accurate and efficient transcription services is only set to increase, making it an essential component of modern content strategy.
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