Source-based narration production workspace

Produce listenable narration from source text in one owned workspace. For marketing and content teams producing narrated audio from written material, convert approved documents, scripts and web pages into editor-approved narration masters with voice settings, edits and export history in one place. The benefit is a testable hypothesis, measured through accepted narration minutes per production hour and corrections after publication; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect approved documents, scripts, web pages, voice consents and brand pronunciation rules, then follow this sequence: 1. Convert written text into spoken audio. 2. Produce natural-sounding voices. 3. Support multiple languages and accents. 4. Adjust speed, pitch and tone. 5. Export audio files in common formats. 6. Create and store custom voice profiles with documented consent. Resolve uncertain cases with qualified reviewers, approve editor-approved narration masters, and measure accepted narration minutes per production hour and corrections after publication 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. Voice cloning requires documented consent and permitted use; final editorial and pronunciation checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve author voice, source attribution, quotation accuracy and usage permissions. Voice cloning requires documented consent and permitted use. Authors approve substantive changes and publication scope. One language, one approved voice set and one export format; final editorial and pronunciation checks remain human. 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 language, one approved voice set and one export format; final editorial and pronunciation checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: convert written text into spoken audio; produce natural-sounding voices. 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 documents, authorized web pages and permitted research sources. Cloud asset storage, document 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: Source intake and rights, Editable narration preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for voice settings, source references and comments. Let users compare voice versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant audio segment. Make the task-specific outcome editor-approved narration masters visible beside its evidence, review state and value baseline.