AI app for customer support · no coding needed
Real-time speech transcription and voice workspace
Reduce delay between speech and usable text while keeping transcripts, analysis and voice output in one owned workspace.
Made for: Support and operations teams running live voice agents and call workflows
What it does for you
The problem
Live voice agents and call recordings need accurate text in real time, but transcription, analysis and voice output sit in separate rented tools.
What it gives you
Reviewed transcripts, extracted insights and synthesized voice replies
What you give it
Permitted call audiouploaded mediaagent scriptsvoice settings
Build your own version of Universal-Streaming, Parrot Speech-to-text API and more
One app with what these 4 AI tools do, yours to keep and change: Universal-Streaming, Parrot Speech-to-text API, Speak Ai, VoiceAI.
Everything these tools do, in one app
- Speech-to-text transcription Converts spoken audio into written text.Found in Universal-Streaming, Parrot Speech-to-text API, Speak Ai and 1 more
- Real-time streaming transcription Produces transcripts continuously as speech happens, with minimal delay.Found in Universal-Streaming, Parrot Speech-to-text API
- Low latency Delivers transcripts quickly so users don't wait for results.Found in Universal-Streaming, Parrot Speech-to-text API
- Endpointing Detects pauses and interruptions to manage turn-taking in conversations.Found in Universal-Streaming
- High accuracy on critical tokens Correctly recognizes important details like emails, codes, and names.Found in Universal-Streaming
- Unlimited concurrency Supports many simultaneous users without limits.Found in Universal-Streaming
- Hindi and code-switching support Handles Hindi and mixed Hindi-English speech with normalization for cleaner transcripts.Found in Parrot Speech-to-text API
- Noisy audio handling Works well with compressed call audio and regional accents.Found in Parrot Speech-to-text API
- Single-pass streaming Keeps transcripts continuous and reduces delay before actions can be taken.Found in Parrot Speech-to-text API
- Automated transcription of files Converts audio and video files into text without manual effort.Found in Speak Ai
- Multiple file format support Accepts dozens of different audio and video file formats.Found in Speak Ai
- NLP and sentiment analysis Extracts keywords, phrases, trends, and analyzes sentiment from transcribed content.Found in Speak Ai
- Data visualization Shows visual representations of trends and insights to spot patterns.Found in Speak Ai
- Embeddable recorders Allows capturing audio and video responses directly from users.Found in Speak Ai
- Meeting assistant Automatically transcribes meetings on platforms like Zoom, Microsoft Teams, Google Meet, and Cisco Webex.Found in Speak Ai
- Integrations and automation Connects with other tools via APIs, Zapier, and browser extensions to automate workflows.Found in Speak Ai, VoiceAI
- Multilingual support Supports transcription and synthesis in various languages.Found in Speak Ai, VoiceAI
- Text-to-speech conversion Turns written text into natural-sounding spoken audio.Found in VoiceAI
- Customizable voice parameters Adjusts speed, pitch, and tone of synthesized voices.Found in VoiceAI
- Real-time voice modulation Enhances and modifies voice in real time.Found in VoiceAI
How it works, step by step
- Transcribe spoken audio into written text
- Stream transcripts continuously as speech happens
- Deliver low-latency results for live agents
- Detect pauses and interruptions for turn-taking
- Recognize critical tokens such as emails, codes and names
- Support many simultaneous sessions
- Handle Hindi and mixed Hindi-English speech with normalization
- Work with compressed call audio and regional accents
- Keep single-pass streaming continuous before actions
- Transcribe uploaded audio and video files automatically
- Accept many audio and video file formats
- Extract keywords, phrases, trends and sentiment
- Show trends and insights as charts
- Capture audio and video through embeddable recorders
- Transcribe meetings on Zoom, Teams, Meet and Webex
- Connect to other tools through APIs, Zapier and browser extensions
- Support transcription and synthesis in multiple languages
- Convert written text into natural-sounding speech
- Adjust speed, pitch and tone of synthesized voices
- Modulate voice in real time
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 Real-time speech transcription and voice workspace 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 Real-time speech transcription and voice workspace 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 build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data201 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 delay between speech and usable text while keeping transcripts, analysis and voice output in one owned workspace. For support and operations teams running live voice agents and call workflows, convert permitted call audio, uploaded media and agent scripts into reviewed transcripts, extracted insights and synthesized voice replies. The benefit is a testable hypothesis, measured through transcript accuracy on critical tokens, end-to-end latency and reviewer correction time; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted call audio, uploaded media, agent scripts and voice settings, then follow this sequence: 1. Transcribe spoken audio into written text. 2. Stream transcripts continuously as speech happens. 3. Deliver low-latency results for live agents. 4. Detect pauses and interruptions for turn-taking. 5. Recognize critical tokens such as emails, codes and names. 6. Support many simultaneous sessions. 7. Handle Hindi and mixed Hindi-English speech with normalization. 8. Work with compressed call audio and regional accents. 9. Keep single-pass streaming continuous before actions. 10. Transcribe uploaded audio and video files automatically. 11. Accept many audio and video file formats. 12. Extract keywords, phrases, trends and sentiment. 13. Show trends and insights as charts. 14. Capture audio and video through embeddable recorders. 15. Transcribe meetings on Zoom, Teams, Meet and Webex. 16. Connect to other tools through APIs, Zapier and browser extensions. 17. Support transcription and synthesis in multiple languages. 18. Convert written text into natural-sounding speech. 19. Adjust speed, pitch and tone of synthesized voices. 20. Modulate voice in real time. Resolve uncertain cases with qualified reviewers, approve reviewed transcripts, extracted insights and synthesized voice replies, and measure transcript accuracy on critical tokens, end-to-end latency and reviewer correction time 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 arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final handling of sensitive customer data and any outbound voice reply remains under named human review. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve caller consent, source attribution, transcript accuracy and usage permissions. Named reviewers approve substantive changes and any outbound voice reply. One live voice channel and one uploaded-file path; final handling of sensitive customer data and any outbound voice reply remains under named human review. 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 live voice channel and one uploaded-file path; final handling of sensitive customer data and any outbound voice reply remains under named human review. Implement one approved input format, a bounded representative case set and the first two task modules: transcribe spoken audio into written text; stream transcripts continuously as speech happens. 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
Customer-owned call recordings, permitted meeting platforms and agent scripts. Cloud audio storage, CRM and helpdesk destinations, and voice agent runtimes. 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: Live transcription console, File and meeting queue, Voice and analysis workbench. Use a session list for live and uploaded jobs, a large central transcript view with timestamps and speaker turns, and a right-hand panel for endpointing, critical tokens, sentiment and voice settings. Let users compare raw and corrected transcripts side by side. Display live, review pending and approved states. Provide an embeddable recorder link and an API key view. Make the task-specific outcome reviewed transcripts, extracted insights and synthesized voice replies visible beside its evidence, review state and value baseline.
