FAQ: Audio Transcription Questions Answered
Audio transcription generates a lot of questions from first-time users and experienced professionals alike. How accurate is it really? What file formats work? Can it handle my accent? What if my file is too long? Is my audio private? This FAQ compiles answers to the most frequently asked questions about our browser-based Audio Transcriptor and AI transcription in general, giving you direct, practical answers so you can use the tool confidently and get the results you need.
Questions About Accuracy and Quality
Q: How accurate is the transcription on a typical recording? For clear, single-speaker English audio with a good microphone and minimal background noise, expect 90–95% word accuracy. This means 90–95 out of every 100 words will be correct. On a 500-word recording, that is 475–475 correct words and 5–25 errors — errors you can spot and correct in a few minutes of review. Accuracy decreases with noisy audio, multiple speakers, heavy accents, and highly technical vocabulary. Q: Will it understand my accent? Whisper was trained on diverse accents from 90+ countries and handles accents significantly better than older ASR systems. Standard regional accents (British, Australian, American regional, Indian English, etc.) typically transcribe at close to native accent accuracy. Very heavy regional accents, strong non-native English accents, or accents combined with noisy audio may produce more errors. Test with a sample recording to assess. Q: Does it struggle with technical vocabulary? Whisper's training included substantial technical content from the internet (academic papers, technical videos, coding tutorials, etc.), so it handles most common technical vocabulary correctly. Highly specialized terminology — rare medical terms, obscure legal Latin phrases, proprietary product names — is more error-prone. For specialized technical content, plan to review the transcript carefully for terminology. Q: What is the minimum audio quality needed for usable transcription? Whisper can transcribe audio down to about 64 kbps MP3 or equivalent quality, but the transcript will have more errors. Voice recorded at 128 kbps MP3 or higher (or any WAV/FLAC file) gives the best results. Recording conditions matter more than bit rate — a 64 kbps MP3 of a clear, quiet recording will transcribe better than a 320 kbps MP3 of a noisy environment. Q: Can it transcribe audio that contains both music and speech? Whisper will attempt to transcribe speech within music, but the accuracy is significantly lower than for speech-only audio. Background music that is louder than the speech will substantially reduce accuracy. For best results, separate the voice from the music track before transcribing if possible.
Questions About File Formats and Technical Specifications
Q: What file formats does the Audio Transcriptor accept? Supported formats include MP3, WAV, M4A, OGG, FLAC, OPUS, and WebM. These cover all standard audio formats from smartphones, voice recorders, digital audio workstations, and video conferencing apps. If your file is in a format not on this list (such as AMR, AWB, or WMA), convert it to MP3 or WAV first using a free converter. Q: What is the maximum file size? There is no hard-coded server-side file size limit since processing happens in your browser. The practical limit is your device's available RAM. Files up to about 100 MB work reliably on most modern computers. Larger files (100–500 MB) may work on high-RAM machines but could slow the browser or cause failures on low-memory devices. For files over 100 MB, splitting into smaller segments of 30–60 minutes each is recommended. Q: Does the tool work on mobile devices? Yes, in Chrome on Android and Safari on iOS. However, mobile processing is slower than desktop due to less powerful CPUs and less RAM. For files over 20–30 minutes, desktop processing is significantly more practical. On mobile, the browser tab must remain open and active during processing — switching to another app may pause or interrupt the transcription. Q: Can I transcribe video files directly? The tool accepts audio formats, not video. If you have a video file (MP4, MOV, AVI, MKV), you need to extract the audio track first. Use VLC Media Player (free): Media > Convert/Save > Add the video > set profile to Audio MP3 > Convert. The resulting MP3 can then be loaded into the Audio Transcriptor. Q: Does it support stereo audio? Yes. The tool processes stereo audio files and downmixes them to mono internally before passing to the Whisper model (which processes at 16 kHz mono). There is no need to convert stereo recordings to mono first, though doing so does reduce file size.
Questions About Privacy and Data Handling
Q: Is my audio uploaded to a server? No. The Audio Transcriptor runs entirely in your browser using ONNX Runtime Web. Your audio file is loaded into browser memory and processed locally by the Whisper model running as a WebAssembly module. No audio data is transmitted to any server at any point. The only data that travels over the internet is the model weights themselves, which are downloaded once when you first use the tool and then cached in your browser. Q: Who can see my transcript? Only you, unless you choose to share it. The transcript is generated in your browser memory and displayed in the tool interface. It is not transmitted anywhere, not stored in any database, and not accessible to anyone other than you. When you download the transcript as a TXT file, it is saved locally on your device. Q: Is the tool GDPR compliant? Because no personal data (including audio) is transmitted to or processed by any server, the GDPR's provisions on data controller obligations, data transfers, and consent requirements for server-side processing do not apply in the same way they do to cloud services. The tool is local-only. If you operate in the EU and need to transcribe recordings containing personal data, browser-based transcription is the most privacy-compliant approach available. Q: What happens to my audio if the browser tab closes mid-transcription? The audio file in the browser's memory is cleared when the tab closes. No data is retained or stored by the tool between sessions. If you close the tab accidentally during transcription, you will need to reload the tool and start the transcription again. Q: Is it safe to transcribe confidential business conversations? Yes, from a privacy perspective — the audio never leaves your device. Apply the same judgment you would with any sensitive document: store the transcript file in appropriate secure storage, use encrypted drives or cloud storage if needed, and limit access to those who need it.
Questions About Languages and Special Use Cases
Q: What languages does Whisper support? Whisper supports transcription in over 90 languages. The most accurate performance is in English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Chinese (Mandarin), Korean, and Arabic — languages with the most training data representation. Many other languages are supported with varying accuracy levels. Whisper can also translate non-English audio directly into English text, which is useful for multilingual research or content. Q: Can I transcribe a recording with multiple languages in it? Whisper handles multilingual audio to some degree — it can switch between languages within a recording. However, switching between languages reduces overall accuracy compared to single-language audio. Specify the primary language in the tool settings for best results. If your recording is primarily in one language with occasional phrases in another, Whisper typically handles this correctly. Q: Can it transcribe a phone call recording? Yes, if you have the audio file. Phone audio is typically narrowband (8 kHz sample rate, limited frequency response), which is lower quality than typical voice recorder audio. Whisper handles phone-quality audio reasonably well for intelligible speech. The accuracy will be somewhat lower than for wider-band microphone recordings. Some phone recording apps (such as Google Voice, or call recording apps on Android) save recordings as MP3 or M4A files that can be directly loaded into the transcriptor. Q: Can I transcribe audio from a video call recording? Yes. Zoom, Teams, and Meet recordings contain voice audio. Extract the audio track from the video file first (using VLC or FFmpeg), then transcribe the extracted audio file. See the meeting transcription guide for detailed steps. Q: Is there a limit to how long an audio file can be? There is no hard time limit, but very long files (over 3–4 hours) may strain browser memory on lower-spec computers. The Whisper model processes audio in 30-second segments, so even very long files are handled segment by segment. For files over 2 hours, splitting into sections of 60–90 minutes each is recommended for more reliable results and easier management of the transcript segments.
Frequently Asked Questions
- Why is my transcript less accurate than I expected?
- The most common causes of lower-than-expected accuracy are: background noise in the recording, a poor-quality microphone (especially laptop built-in microphones), fast or unclear speech, or audio that was compressed at a very low bit rate. Try running your audio through Audacity's noise reduction filter before transcribing. Check that the correct language is selected. For best results, record in a quiet space with a dedicated microphone placed close to the speaker.
- Can I edit the transcript in the tool?
- The transcript output area supports basic text editing. You can click within the text to position your cursor and make corrections directly before copying or downloading. For extensive editing, copy the transcript and paste it into a dedicated text editor or word processor (Google Docs, Microsoft Word, Notion) where you have full formatting and editing capabilities.
- Does using the tool require an internet connection?
- An internet connection is required to load the page and download the Whisper model weights the first time you use the tool. Once the model is loaded (and cached in your browser), subsequent sessions on the same device may use the cached model without a connection. The actual audio processing never requires internet — it runs entirely locally regardless. For regular use, once you have loaded the model once, you can transcribe audio files without an active connection.