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[Directory](/) 2. / 3. netresearch/nr-repurpose ActiveTypo3-cms-extension netresearch/nr-repurpose ======================== Turn a webpage or PDF into a podcast, a diagram and an Instagram story — by Netresearch, built on netresearch/nr-llm v0.2.3(yesterday)1100↑2660%GPL-2.0-or-laterPHP ^8.3 Since Jun 9Compare [ Source](https://github.com/netresearch/t3x-nr-repurpose)[ Packagist](https://packagist.org/packages/netresearch/nr-repurpose)[ Docs](https://github.com/netresearch/t3x-nr-repurpose)[ RSS](/packages/netresearch-nr-repurpose/feed)WikiDiscussions Synced today READMEChangelog (5)Dependencies (20)Versions (6)Used By (0) nr\_repurpose — Content Repurpose for TYPO3 =========================================== [](#nr_repurpose--content-repurpose-for-typo3) Turn a webpage (URL) or PDF into three AI-generated media artifacts — a **podcast**with one to three persona-driven speakers (with transcript + WebVTT subtitles), a **diagram** (Schaubild, in three variants), and an **Instagram-story carousel** — from the TYPO3 backend. Every AI call goes through [`netresearch/nr-llm`](https://github.com/netresearch/t3x-nr-llm): nr\_repurpose contains no provider code. Any LLM, image or TTS provider works — if nr-llm supports it (see [Providers, models and prompts](#providers-models-and-prompts)). What it produces ---------------- [](#what-it-produces) From one source (URL or PDF) the pipeline derives a single faithful `ContentBrief`(via nr-llm, source language auto-detected) and generates: - **Podcast** — a dialogue between one to three speakers: select up to three *persona* snippets, each contributing a speaker name, a character description for the script and optionally its own TTS voice — or get the classic two-host default. Synthesized turn-by-turn via nr-llm's text-to-speech service, stitched with ffmpeg into one MP3, plus a speaker-tagged transcript and a WebVTT subtitle file whose cue times come from the measured segment durations. - **Schaubild** — three variants for comparison: pure HTML (Fluid → headless Chromium → PNG), HTML with an AI-generated background, and a full AI image at the dimensions the selected *layout* snippet defines. Branded NR or neutral theme. - **Story** — a multi-slide carousel (9:16 slides): a cover hook, one slide per key point (at most four) and an outro with the source attribution — up to six slides, one artifact per slide. A single optional AI background is shared by all slides — generated at the layout-selected dimensions and scaled to *cover* the design canvas so the layout is never distorted. Each artifact type can be selected per run. Long-running generation runs asynchronously via Symfony Messenger (doctrine transport). Editorial steering and transparency ----------------------------------- [](#editorial-steering-and-transparency) - **Prompt snippets** — the job form offers *audience*, *tone of voice*, *persona*, *layout* and *style* selectors, populated from nr-llm's prompt-snippet library (each option shows its description). A layout snippet's `imageSize` metadata drives the AI-image dimensions per channel (skyscraper, wide, square, …). - **Live progress** — while a job runs, the detail view shows fine-grained per-step progress and refreshes itself. - **Prompt transparency** — every generated artifact records its complete creation parameters: the exact system, user and image prompts, the models, image sizes and voices used. They are shown in the job detail view. Providers, models and prompts ----------------------------- [](#providers-models-and-prompts) nr\_repurpose never picks a provider itself — it names nr-llm **Configuration**records (use cases) and lets nr-llm resolve the model, provider, API key, system prompt and cost tracking: Callnr-llm ConfigurationWhat you can swap in the backendAnalysis + copy (brief, podcast script, diagram body, story copy)the instance **default** Configuration (import the `nr_repurpose_text` preset and mark it default)any chat model of any nr-llm provider: OpenAI, Anthropic Claude, Google Gemini, Groq, Mistral, Ollama, OpenRouterImage generation`nr_repurpose_image` (fallback `gpt-image-2`)any model of nr-llm's image services (OpenAI `gpt-image-*` / `dall-e-*`; nr-llm also ships a fal.ai service — see below)Text-to-speech`nr_repurpose_tts` (fallback `tts-1`; default voices `nova` + `onyx`, persona snippets can set their own voice per speaker)any model of nr-llm's TTS service (currently OpenAI `tts-1`/`tts-1-hd`)You do not create these records by hand: nr\_repurpose **declares them as configuration presets** (nr-llm ADR-056). Open nr-llm's **Configurations** backend module — the three `nr_repurpose_*` records appear as *pending presets* with their required capabilities, and a single click imports each as a criteria-mode configuration that resolves against the models you have. Mark the imported `nr_repurpose_text` record as the instance default for the analysis/copy calls. System prompts (e.g. the image-style preamble) are maintained on the Configuration records; per-model and per-configuration usage and cost show up in nr-llm's analytics module. API keys are stored in **nr-vault** and referenced by identifier (e.g. `nr_repurpose_openai`) — no plaintext key ever lives in extension configuration (nr-llm ADR-030). Honest limits today: text generation is fully provider-agnostic; image and speech go through nr-llm's *specialized* services, which currently cover OpenAI (images, TTS) and fal.ai (images). The extension-side seam is in place — `ImageGeneratorInterface` / `SpeechSynthesizerInterface` with a DI alias in `Configuration/Services.yaml` — so a fal.ai image backend is a small adapter class away, and additional providers become available as nr-llm grows them. Full control — no black box --------------------------- [](#full-control--no-black-box) nr\_repurpose is not a SaaS pipeline you feed content into and hope for the best. It runs entirely inside your TYPO3 instance, and through nr-llm every aspect of the AI usage stays under the operator's control: - **Provider sovereignty** — decide per use case which provider serves it: a US cloud, an EU provider (e.g. Mistral), or fully self-hosted models via Ollama, where content never leaves your infrastructure. Switching is a backend record edit, not a deployment. - **Costs** — per-user budgets are enforced by nr-llm's middleware; every call is metered and attributed per model and per configuration in nr-llm's analytics module; image and speech calls are additionally pre-gated against the budget with a planned cost before any money is spent. - **Prompts** — system prompts are maintained centrally on Configuration records, editorial steering on reviewable prompt snippets, and every artifact stores the exact prompts, models, sizes and voices that produced it — reproducible and reviewable after the fact. - **Auditing** — API keys are envelope-encrypted in nr-vault and every key use goes through its audited secure HTTP client: a who/what/when trail exists for every outbound AI call. - **Permissions** — backend group permissions gate which editors may spend on audio (`generate_audio`) and AI imagery (`generate_vision`). Requirements ------------ [](#requirements) - TYPO3 v14.3 LTS, PHP 8.3+ - nr-llm `^0.21` and nr-vault `^0.10` (installed automatically via Composer) - An API key for at least one nr-llm-supported provider. The tested default stack uses a single OpenAI key for everything (analysis, TTS, images). - `ffmpeg`, `poppler-utils` and `chromium` (+ Node.js for the renderer) on the host that runs the worker — baked into the DDEV web image. Local development (DDEV) ------------------------ [](#local-development-ddev) Prerequisites: Docker + DDEV. ``` cp .ddev/.env.dist .ddev/.env # then set OPENAI_API_KEY=sk-... ddev start # builds the web image (ffmpeg, poppler-utils, chromium) ddev install # composer install + TYPO3 v14.3 setup into .Build/Web ``` The bundled dev wiring uses OpenAI: `ddev install` seeds the key into nr-vault under `nr_repurpose_openai` and wires nr-llm's provider, so no further configuration is required for a dev instance. Backend: — user `admin`, password `Demo1234!`. Open **Web › Repurpose**, choose *New job*, paste a URL, pick the artifacts, theme and prompt snippets, and submit. The list shows the job progress; the detail view shows live per-step progress, plays the podcast (with subtitles + transcript), shows/downloads every image, and lists the exact prompts and models behind each artifact. CLI --- [](#cli) Run the full pipeline for a job synchronously (useful for ops / debugging without the async worker): ``` .Build/bin/typo3 nr_repurpose:generate ``` Tests ----- [](#tests) Always run via the Docker-isolated runner (TYPO3 core-testing images, default PHP 8.5) — never inside ddev: ``` ./Build/Scripts/runTests.sh -s unit # unit tests ./Build/Scripts/runTests.sh -s functional # functional tests (sqlite) ./Build/Scripts/runTests.sh -s functional -d mariadb # functional against MariaDB ./Build/Scripts/runTests.sh -p 8.4 -s unit # pin a different PHP version ``` Architecture ------------ [](#architecture) See the rendered documentation under `Documentation/` (Introduction, Installation, Configuration, Usage, Architecture, and the Architecture Decision Records). Pipeline: ingest (web/PDF) → analyze (one `ContentBrief` via nr-llm) → generate (podcast / schaubild×3 / story×N slides) → store in the TYPO3 File Abstraction Layer (FAL). ### Health Score 43 — FairBetter than 89% of packages Maintenance100 Actively maintained with recent releases Popularity16 Limited adoption so far Community2 Small or concentrated contributor base Maturity42 Maturing project, gaining track record How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Every ~20 days Total 3 Last Release 1d ago ### Community Maintainers ![](https://avatars.githubusercontent.com/u/151247?v=4)[Netresearch DTT GmbH](/maintainers/netresearch)[@netresearch](https://github.com/netresearch) ### Code Quality TestsPHPUnit ### Embed Badge ![Health badge](/badges/netresearch-nr-repurpose/health.svg) ``` [![Health](https://phpackages.com/badges/netresearch-nr-repurpose/health.svg)](https://phpackages.com/packages/netresearch-nr-repurpose) ``` ### Alternatives [pagemachine/typo3-formlog Form log for TYPO3 23238.6k8](/packages/pagemachine-typo3-formlog)[friendsoftypo3/content-blocks TYPO3 CMS Content Blocks - Content Types API | Define reusable components via YAML 103519.9k57](/packages/friendsoftypo3-content-blocks)[eliashaeussler/typo3-form-consent Extension for TYPO3 CMS that adds double opt-in functionality to EXT:form 1595.5k](/packages/eliashaeussler-typo3-form-consent)[eliashaeussler/typo3-warming Warming - Warms up Frontend caches based on an XML sitemap. 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