Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Galician 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.
Effortlessly transform Galician audio into clear 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
Galician Audio to Text Software powered by AI in 2026
In today's digital age, the demand for accurate and efficient transcription services is ever-growing. Whether you're a content creator, researcher, or business professional, converting audio to text can significantly enhance your productivity and accessibility. One niche area gaining traction is the transcription of Galician audio to text. As a language with rich cultural heritage and growing digital presence, understanding how to effectively transcribe Galician audio can open doors to numerous opportunities. This blog aims to educate content creators about the essential aspects of converting Galician audio into text, highlighting the benefits, challenges, and best practices for achieving optimal results.
Understanding Galician: A Cultural and Linguistic Overview
Galician is a language spoken by approximately 2.4 million people, primarily in the Galicia region of northwestern Spain. It shares historical roots with Portuguese, making it a unique Romance language with distinct phonetic and syntactic characteristics. As a content creator, appreciating the nuances of Galician is crucial when embarking on transcription projects. This understanding not only aids in accurate transcription but also respects the cultural significance embedded in the language.
The Importance of Transcribing Galician Audio to Text
1. Enhanced Accessibility: Transcribing Galician audio into text makes content accessible to a broader audience, including those who are deaf or hard of hearing. It also caters to individuals who prefer reading over listening or need written content for reference.
2. Improved Content Searchability: Textual content is easily indexed by search engines, improving the discoverability of your content. By offering Galician transcripts, you enhance the SEO potential of your media, reaching a wider audience interested in this language.
3. Cultural Preservation: Transcription aids in preserving the language by creating written records of spoken Galician. This is crucial for maintaining linguistic diversity and cultural heritage in a rapidly globalizing world.
Challenges in Transcribing Galician Audio
1. Dialectal Variations: Galician features several dialects, each with its own phonetic and lexical differences. Transcribers must be adept at recognizing these variations to ensure accurate transcription.
2. Technical Jargon and Slang: Depending on the context, Galician audio may include region-specific jargon or slang. Familiarity with these terms is essential for producing a transcript that accurately reflects the original content.
3. Background Noise and Audio Quality: As with any transcription work, poor audio quality can hinder the transcription process. Ensuring high-quality recordings is vital for achieving precise transcriptions.
Best Practices for Transcribing Galician Audio to Text
1. Leverage Advanced AI Tools: Utilize AI-powered transcription software that supports Galician. These tools can expedite the transcription process with high accuracy, especially when dealing with clear audio files.
2. Manual Review and Editing: While AI can significantly assist in transcription, manual review by a native speaker is indispensable. This step ensures that nuances and context are accurately captured and any errors are corrected.
3. Training and Familiarization: For those new to Galician, investing time in learning the language's phonetics and common expressions can be immensely beneficial. Online courses, language apps, and community interactions are excellent resources.
4. Consistent Formatting: Maintain a consistent format for your transcriptions to enhance readability. This includes clear paragraphing, speaker identification, and time-stamping where necessary.
5. Confidentiality and Security: When dealing with sensitive content, ensure that your transcription process complies with data protection regulations and that any transcription tools used offer robust security measures.
Conclusion
Transcribing Galician audio to text is more than a technical task; it's a gateway to cultural engagement and accessibility. By understanding the intricacies of the language and employing best practices, content creators can effectively reach and resonate with Galician-speaking audiences. Whether for enhancing SEO, preserving cultural heritage, or improving accessibility, the benefits of accurate Galician transcription are manifold. As the demand for diverse linguistic content continues to grow, mastering the art of Galician transcription will undoubtedly serve as a valuable asset in the digital 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 2026-02-12