FAQ: Video Transcription Questions Answered
Video transcription raises a lot of practical questions — about how it works, how accurate it is, which formats are supported, and what happens to your files. This FAQ compiles the questions we hear most often from new and experienced users of AI video transcription, covering everything from basic operation to advanced use cases. Whether you are transcribing your first video or optimizing a high-volume workflow, you will find answers here.
Getting Started: Basic Questions
Q: What is video transcription? Video transcription is the process of converting the spoken audio in a video file into written text. The result is a plain-text document containing everything said in the video. Transcription can be done manually by a human typist, automatically by AI software, or through a hybrid of both. Q: Does the WikiPlus Video Transcriptor upload my file to a server? No. The tool runs entirely in your browser using ONNX Runtime Web and the Whisper AI model. Your video file is processed locally on your device — nothing is sent to any server. You can confirm this by disconnecting from the internet after the page has loaded and the model has been downloaded: the tool still works because it operates entirely locally. Q: What video formats does the tool support? The tool supports all standard video formats that your browser can process: MP4, WebM, MOV, AVI, MKV. MP4 is the most universally supported. Audio-only formats (MP3, WAV, M4A, OGG) also work because the tool only needs the audio track. Q: Is there a file size limit? There is no hard file size limit imposed by the tool, but practical limits exist based on your browser's available memory. Most modern computers handle files up to 500 MB–1 GB comfortably. Very large files (over 1 GB) may cause memory issues depending on your device. For very long recordings, consider extracting just the audio track (which is a smaller file) for transcription. Q: How long does transcription take? Processing time depends on the length of the video and your device's processing power. As a rough guide: a 10-minute video processes in 1–3 minutes on a modern laptop; a 60-minute video in 8–15 minutes. Devices with GPU support (and a browser that can use WebGPU) may be significantly faster.
Accuracy and Language Questions
Q: How accurate is the AI transcription? Whisper AI achieves word error rates below 5% on clear, well-recorded audio in major languages — comparable to professional human transcriptionists. Accuracy decreases with background noise, multiple simultaneous speakers, strong non-standard accents, and very low-quality audio. Expect 95–98% accuracy on typical video content with decent audio quality. Always review the output before publishing or sharing. Q: Which languages are supported? Whisper supports 99 languages, with highest accuracy in major world languages (English, Spanish, French, German, Chinese, Japanese, Portuguese, Italian, Russian, Korean, Arabic, and others). Less-resourced languages may have higher error rates. You can either specify the language manually for better accuracy, or use auto-detect which identifies the language from the first 30 seconds of audio. Q: Why are there errors on proper nouns and brand names? AI transcription models are trained on general text and may not recognize specific names of people, companies, products, or specialized terminology that appear infrequently in their training data. Proper nouns are a consistent weakness of all AI speech recognition systems. Correction of names and technical terms during the post-processing review pass is standard practice. Q: Can Whisper handle strong accents? Yes, better than most competing speech recognition systems. Whisper's training included diverse international English accents and non-English audio at scale, making it more robust to accent variation than older systems. However, very strong regional accents, dialects, or non-standard pronunciations may still produce more errors than standard pronunciation. If you are regularly transcribing content with a specific accent type, testing the tool with a sample first is recommended. Q: Can the tool transcribe multiple speakers at once? Whisper transcribes speech as a continuous text stream without distinguishing between speakers. If a meeting or interview has multiple speakers, the transcript will be one undifferentiated text block. Speaker attribution must be added manually (by reading through and labeling passages) or by using a cloud service with speaker diarization functionality.
Output and Format Questions
Q: What format is the transcript output? The WikiPlus tool produces plain text output — a complete text block of all recognized speech, with paragraph breaks where natural pauses occur. This plain text can be copied directly into any document or text editor. Q: Can I get a time-coded transcript (SRT file)? The WikiPlus tool produces plain text rather than a time-coded SRT file. To create an SRT file for subtitles, you have two options: (1) use the transcript with a subtitle editor like Subtitle Edit to synchronize it to the video audio; or (2) use a cloud-based transcription service that outputs SRT directly. For YouTube videos, uploading the video and using YouTube's auto-caption system (then editing for accuracy) is an integrated alternative. Q: Can I edit the transcript in the tool? The output appears in an editable text area that you can modify directly in the browser before copying or downloading. For more substantial editing, paste the text into your preferred word processor or notes application. Q: How do I use the transcript for subtitles? Paste the plain text into a subtitle editor like Subtitle Edit (free, Windows) or Aegisub (free, cross-platform). Use the software's audio alignment feature to synchronize the text to the video. Export as SRT or VTT for upload to YouTube, Vimeo, or other platforms, or burn in as hardcoded subtitles for social media. Q: Can I translate the transcript into another language? The WikiPlus tool produces output in the language of the video. For translation into other languages, paste the transcript into a translation service (DeepL, Google Translate) or an AI assistant with a translation prompt. Whisper itself has a translation feature that produces English text from non-English audio, but this is not currently exposed in the WikiPlus interface.
Privacy, Security, and Advanced Questions
Q: Is the WikiPlus Video Transcriptor private and secure? Yes. The tool runs entirely within your browser using local computation — your video file never leaves your device. No data is transmitted, stored, or logged by WikiPlus. This makes it safe for sensitive content including business meetings, confidential interviews, medical discussions, and personal recordings. Q: Does the tool work offline? After the initial load, yes. The Whisper model is downloaded once and cached in your browser. If you subsequently lose your internet connection, the tool continues to work normally for transcription because all processing is local. The model cache persists between browser sessions, so offline use remains available until the browser cache is cleared. Q: What happens if the transcription fails or cuts off early? If processing fails or produces incomplete output, common causes include: insufficient RAM for very large files, browser memory limits on older or lower-spec devices, or temporary browser issues. Try refreshing the page, closing other browser tabs and applications to free memory, and trying again. For very large files, extracting and transcribing just the audio track (which is much smaller) often resolves memory issues. Q: Can I use the transcripts commercially? Yes. WikiPlus places no restrictions on the use of outputs produced by its tools. You can use transcripts for commercial purposes — blog posts, published articles, business documentation, captioned videos for monetized channels. Note that the content copyright belongs to the original video creator; transcribing someone else's copyrighted content does not grant rights to republish it. Q: How does the browser-based tool compare to paid cloud services? The WikiPlus tool uses the same Whisper AI model as many paid services, providing comparable accuracy at no cost and with superior privacy (local processing). Paid cloud services typically offer additional features: speaker diarization, real-time transcription, SRT output, team collaboration, larger file handling, and API access. For individual use where privacy and cost matter most, the free browser-based tool is highly competitive.
Frequently Asked Questions
- Can I transcribe a video in one language and get output in another?
- Whisper has a built-in translation capability that can produce English text from audio in other languages — effectively transcribing and translating in one step. This feature is available through the Whisper API and some tools built on it, but the WikiPlus tool currently outputs in the source language. For translation of the transcript into a target language, copy the output and use a translation service like DeepL (high quality for European languages) or Google Translate (broad language support).
- Why is the transcription quality worse for phone or conference call audio?
- Phone and video conferencing audio uses aggressive audio compression codecs (narrowband or wideband telephony codecs) that significantly reduce audio quality compared to direct microphone recordings. These codecs cut high and low frequencies, add compression artifacts, and reduce dynamic range. AI speech recognition models were largely trained on higher-quality audio, so compressed call audio produces more errors. Additionally, network-related artifacts (choppy audio, echo, dropout) cause further degradation. For important meeting content with poor audio, consider using platform-native transcription features that may be optimized for conferencing audio.
- Is there a limit to how many videos I can transcribe?
- No. The WikiPlus Video Transcriptor has no usage limits, no per-transcription fees, and no monthly caps. You can transcribe as many videos as you want, for personal or commercial use, at no cost. The only practical limit is your device's processing capacity and available storage. Since the tool is browser-based and processes locally, usage on your end has no impact on server costs for WikiPlus, which is why unlimited free usage is sustainable.