AI app for creatives · no coding needed
Multilingual recording transcript and caption workbench
Reduce caption and transcript rework while keeping speaker labels, timing and meaning intact.
Made for: Podcast, video and e-learning producers working across several languages
What it does for you
The problem
Recordings in mixed languages are transcribed, translated and captioned in separate rented tools, so text, timing and speaker labels drift apart.
What it gives you
Reviewer-approved transcripts, translations and caption files linked to the source media
What you give it
Owned audiovideo recordingsspeaker listsglossary termscaption style rules
Build your own version of WhisperWizard, Vocova and more
One app with what these 10 AI tools do, yours to keep and change: WhisperWizard, Vocova, Whisper (OpenAI), Voiser AI, Silvia, GPT Subtitler, Langy, Smart Dictation, AirCaption, Taped.ai.
Everything these tools do, in one app
- Speech-to-text transcription Converts spoken audio or video into written text.Found in WhisperWizard, Vocova, Whisper (OpenAI) and 5 more
- Multilingual transcription Transcribes speech in multiple languages.Found in WhisperWizard, Vocova, Whisper (OpenAI) and 4 more
- Speaker identification Labels and separates different speakers in a recording.Found in WhisperWizard, Vocova, Voiser AI and 1 more
- Automatic punctuation Adds punctuation to transcripts automatically.Found in WhisperWizard, Voiser AI
- Transcript translation Translates transcripts into other languages.Found in Vocova, Whisper (OpenAI), Voiser AI and 1 more
- Subtitle generation Creates subtitles or captions for videos.Found in GPT Subtitler, AirCaption
- Export formats Exports transcripts in formats like SRT, VTT, PDF, DOCX, TXT, or CSV.Found in WhisperWizard, Vocova, GPT Subtitler and 1 more
- Transcript editing Allows editing and correcting of transcripts after generation.Found in Vocova, GPT Subtitler, AirCaption and 1 more
- Summarization Generates summaries of transcripts to highlight key points.Found in Vocova, Voiser AI, Smart Dictation
- Batch processing Processes multiple files at once.Found in WhisperWizard, AirCaption
- Noise handling Maintains transcription accuracy in noisy environments.Found in WhisperWizard, Whisper (OpenAI), Smart Dictation
- Language identification Detects the language being spoken.Found in Whisper (OpenAI), Smart Dictation
- Timestamps Provides timestamps for phrases or segments.Found in Whisper (OpenAI), Vocova
- Offline functionality Processes audio locally without an internet connection.Found in AirCaption
- Link import Imports media directly from URLs or platforms.Found in Vocova
- Interactive Q&A Allows users to ask questions based on the transcript.Found in Voiser AI, Vocova
- Mixed-language dictation Recognizes speech that mixes multiple languages within a sentence.Found in Silvia
- Text generation Generates written content like blogs or emails.Found in Langy
How it works, step by step
- Transcribe owned audio and video into text
- Detect the spoken language and label segments
- Separate and label different speakers
- Add punctuation and sentence boundaries
- Handle background noise and overlapping speech
- Recognize speech that mixes languages within a sentence
- Translate transcripts into target languages
- Generate timed subtitle and caption files
- Provide segment timestamps and timecode navigation
- Edit and correct transcripts after generation
- Summarize transcripts into key points
- Answer questions grounded in the transcript
- Import media from authorized links or platforms
- Process batches of recordings
- Export SRT, VTT, PDF, DOCX, TXT and CSV
- Draft written content such as show notes or emails from the transcript
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved transcript, translation and caption set with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Multilingual recording transcript and caption workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Multilingual recording transcript and caption workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce caption and transcript rework while keeping speaker labels, timing and meaning intact. For podcast, video and e-learning producers working across several languages, convert owned audio and video recordings, speaker lists, glossary terms and caption style rules into reviewer-approved transcripts, translations and caption files linked to the source media. The benefit is a testable hypothesis, measured through accepted caption minutes per production hour and corrections after delivery; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect owned audio and video recordings, speaker lists, glossary terms and caption style rules, then follow this sequence: 1. Transcribe owned audio and video into text. 2. Detect the spoken language and label segments. 3. Separate and label different speakers. 4. Add punctuation and sentence boundaries. 5. Handle background noise and overlapping speech. 6. Recognize speech that mixes languages within a sentence. 7. Translate transcripts into target languages. 8. Generate timed subtitle and caption files. Resolve uncertain cases with qualified reviewers, approve reviewer-approved transcripts, translations and caption files linked to the source media, and measure accepted caption minutes per production hour and corrections after delivery against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for timing arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed caption style and approved language set; final language and meaning checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve speaker voice, source attribution, quotation accuracy and usage permissions. Producers approve substantive changes and publication scope. One fixed caption style and approved language set; final language and meaning checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed caption style and approved language set; final language and meaning checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: transcribe owned audio and video into text; detect the spoken language and label segments. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Owner-authorized recordings, permitted platform links and approved glossary sources. Cloud media storage, editing-suite import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Media intake and language setup, Editable transcript and caption preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas with the media player, and a right-hand panel for speakers, glossary, languages and comments. Let users compare transcript and caption versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant timecode. Make the task-specific outcome reviewer-approved transcripts, translations and caption files linked to the source media visible beside its evidence, review state and value baseline.
