Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Marathi 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. 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 convert Marathi video audio into clear and detailed 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
Marathi Video to Text Software powered by AI in 2026
Understanding Marathi Video to Text Conversion: A Guide for Content Creators
In today's digital age, the demand for video content is rapidly increasing, and with it, the need for accurate and efficient transcription services. Content creators, especially those working with regional languages like Marathi, often seek reliable solutions to convert video content into text. This article aims to shed light on the process of Marathi video to text conversion, highlighting its significance, benefits, and the tools available to facilitate this task.
The Importance of Video to Text Conversion
1. Enhanced Accessibility: Transcribing video content into text makes it accessible to a wider audience, including those with hearing impairments and individuals who prefer reading over watching videos.
2. Improved SEO: Search engines cannot index video content as effectively as text. By converting video to text, you can improve your content's search engine optimization (SEO), making it easier for potential viewers to find your content online.
3. Content Repurposing: Text transcriptions allow content creators to repurpose video content into blogs, articles, or social media posts, thereby maximizing the use of their material.
4. Facilitating Language Learning: For non-native speakers, having a text version of Marathi videos can aid in language learning by providing a reference for pronunciation and vocabulary.
Challenges in Marathi Video to Text Conversion
1. Dialectical Variations: Marathi, like many Indian languages, has numerous dialects. This diversity can pose challenges in accurate transcription as different dialects may have variations in pronunciation and vocabulary.
2. Technical Terminology: Depending on the subject matter of the video, there might be technical jargon or specific terms that require careful handling to ensure accurate transcription.
3. Background Noise and Audio Quality: Poor audio quality or background noise can hinder the transcription process, leading to inaccuracies in the text output.
Key Features to Look for in Transcription Tools
When selecting a transcription tool or service for Marathi video to text conversion, consider the following features:
1. Language Support: Ensure that the tool specifically supports Marathi and is capable of accurately handling its nuances.
2. Accuracy and Speed: Look for tools that offer high accuracy in transcription and can process videos quickly to save time.
3. User-Friendly Interface: A straightforward interface can make the transcription process smoother, especially for those who are not tech-savvy.
4. Editing Capabilities: Having built-in editing features can be a significant advantage, allowing you to make quick corrections or adjustments to the text.
5. Integration Options: Tools that integrate with other platforms, such as video hosting sites or content management systems, can streamline your workflow.
Recommended Tools for Marathi Video to Text Conversion
1. Happy Scribe: Known for its multilingual support, Happy Scribe offers a reliable platform for transcribing Marathi videos. It provides an intuitive interface and editing features to ensure high accuracy.
2. Sonix.ai: This AI-driven transcription tool supports multiple languages, including Marathi. It offers impressive speed and accuracy, along with robust editing and collaboration features.
3. Otter.ai: While primarily focused on English, Otter.ai provides reliable transcription services for various languages through its advanced AI capabilities. It's worth exploring for Marathi transcription needs.
4. Google Speech-to-Text: Leveraging Google's powerful AI, this tool supports Marathi and integrates seamlessly with other Google services, making it a convenient choice for users in the Google ecosystem.
Best Practices for Effective Transcription
1. Ensure Clear Audio Quality: Use high-quality recording equipment and minimize background noise to improve transcription accuracy.
2. Speak Clearly and Slowly: Encourage speakers in the video to articulate words clearly and maintain a moderate pace to facilitate accurate transcription.
3. Use Time Stamps: Including time stamps in your transcription can help in locating specific parts of the video easily, especially during editing or review.
4. Review and Edit: Always review the transcribed text for errors or omissions. Editing is a crucial step to ensure the final text is accurate and polished.
Conclusion
Marathi video to text conversion is a valuable process for content creators aiming to broaden their audience and enhance the accessibility of their content. By understanding the challenges and leveraging the right tools, creators can efficiently convert their video content into text, unlocking numerous benefits such as improved SEO, accessibility, and content repurposing. Embrace the power of transcription to elevate your content strategy and reach a wider audience in the Marathi-speaking community.
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