We automate corporate podcast creation: upload text—LLM (GPT-4o, Claude 3.5) turns it into a lively dialogue, multilingual TTS (ElevenLabs Multilingual v2, PlayHT 2.0, Coqui XTTS-v2) synthesizes speech, and post-processing normalizes loudness (EBU R128, –14 LUFS) and packages into MP3 (192 kbps) or WAV. The entire pipeline completes in minutes. Our experience with TTS and LLM achieves MOS 4.2–4.5 quality. For instance, for a media company we set up daily news podcast generation from an RSS feed: a 5-minute episode is created in 2 minutes, and dialogue quality scored MOS 4.4.
Order a pilot episode to evaluate the result with your content.
Why automatic podcast generation saves hours?
Weekly podcast recording consumes tens of hours: recording, editing, post-processing. We automate the entire process: LLM rewrites text into conversational narrative, TTS synthesizes voices, post-processing normalizes loudness and adds jingles. A 15-minute episode is generated in 5 minutes—4 times faster than a typical DIY solution (20+ minutes).
How to eliminate monotony in synthesized speech?
Most TTS solutions produce robotic voice. We tune emotional prosody: pauses, emphasis, timbre. We use voice cloning from a 3–5 minute audio sample—this gives a unique brand timbre. Quality approaches MOS 4.5.
Complexity of content structuring. Turning a technical article into a dialogue is a task for LLM with a custom prompt. We test formats: solo narrative, interview, two-person discussion. The prompt system accounts for domain vocabulary and tone. For complex topics, we use chain-of-thought and few-shot examples to avoid hallucinations. To enrich content, we apply RAG—the system pulls relevant facts from the company knowledge base, making podcasts more informative.
Integration with existing infrastructure. A ready REST API and modules for WordPress, Bitrix24, Tilda—generated podcast is automatically published to RSS feed and sent to Apple Podcasts / Spotify. For corporate clients, we configure auto-publishing via Anchor API or Buzzsprout.
How we do it?
- Content upload. Text (TXT, DOCX, PDF), article URL, RSS feed, or JSON—the system accepts any format.
- LLM processing. GPT-4o or Claude 3.5 rewrites text into conversational narrative. We configure prompts for format (solo, interview, discussion). Apply RAG to enrich content with facts from corporate knowledge base.
- TTS synthesis. Selected engine synthesizes speech using cloned voice or library voice. Supports 29–30 languages.
- Audio post-processing. Loudness normalization (EBU R128, –14 LUFS), noise reduction, dynamic compression. Add jingles and background music (royalty-free or generated via AudioGen).
- Publishing. MP3/WAV/AAC + RSS feed. Integration with CMS and podcast platforms.
Comparison with alternatives
| Parameter | Our solution | Typical DIY solution |
|---|---|---|
| Generation time for 15-min episode | ~5 min | 20+ min |
| TTS quality (MOS) | 4.2–4.5 | 3.8–4.0 |
| Supported languages | 28+ | 7–10 |
| Voice cloning | Yes (3 min sample) | Yes (requires 30+ min) |
| CMS integration | Ready modules | Manual development |
Language support
| Language group | Support | Examples |
|---|---|---|
| European | 15+ | English, German, French, Spanish |
| Asian | 8+ | Chinese, Japanese, Korean |
| Middle Eastern | 5+ | Arabic, Hebrew, Turkish |
| Others | 4+ | Russian, Portuguese, Polish, Hindi |
Timelines and implementation stages
Pipeline deploys in 4 weeks. First two weeks for LLM pipeline tuning, voice cloning, and TTS API testing. Remaining two for audio post-processing, auto-publishing (RSS + Anchor API), and web interface for generation triggers.
What's included?
- Architecture documentation and editor instructions
- Team training on interface use
- One month of technical support after launch
- Source code for integration modules (Python, Node.js)
- Guarantee of stable pipeline operation (SLA 99.9%)
Experience and guarantees
We have worked with TTS for over 5 years, completed 20+ content automation projects for media and corporate clients. We guarantee MOS no less than 4.2 and absence of hallucinations in dialogues. We provide a test episode before start. Contact us for a preliminary assessment of your project—we'll select the optimal stack for your budget and timeline. Order a pilot episode to evaluate quality.