🎙️ AUDIO · Voice & Speech Level: Intermediate ⏱ 15 MIN Free & Open Source

Turn Long-Form Articles into Realistic Multi-Speaker Dialogue Podcasts with SoulX-Podcast

Single-speaker TTS audiobooks often induce sleep. SoulX-Podcast is an open-source framework specifically engineered for multi-speaker dialogue podcasts. Input any article, research report, or document, and it synthesizes a natural banter script with two distinct voice personas—complete with spontaneous laughs, interruptions, sighs, and lively conversational cadence.

CORE TOOLS SoulX-Podcast (Open Source), DeepSeek / Claude, Python, PyTorch

BEST FOR Podcast hosts, newsletter writers, equity research analysts, storytellers, online educators

REQUIREMENTS PC or server with Python 3.10 and an Nvidia GPU with 8GB+ VRAM (RTX 3060 or better).

✦ WHY THIS WORKFLOW

Single-narrator audio causes listener fatigue within minutes, while dynamic multi-speaker dialogue keeps attention gripped with rhetorical tension, banter, and laughter. SoulX-Podcast makes creating professional podcasts effortless.

✦ Interactive Workflow Animation Preview

Step-by-Step Action Checklist

0 / 4 Completed

✓ Step 1 [Rewrite article into natural two-speaker banter]: Feed your source text into an LLM using a specialized podcast script prompt to craft an engaging dialogue between a curious host and a savvy expert.
✓ Step 2 [Assign distinct voice personas in SoulX-Podcast]: Set up energetic host A and authoritative guest B in the SoulX configuration, fine-tuning interruption thresholds and laughter frequencies.
✓ Step 3 [Synthesize conversational multi-track audio]: Execute the synthesis pipeline. The model dynamically injects conversational cues (giggles, natural overlaps, reactive gasps) based on dialogue context.
✓ Step 4 [Export broadcast-ready MP3 with chapter tags]: Export the mastered audio file complete with background intro music and timestamped ID3 tags ready for podcast distributors.

READY-TO-USE PROMPT TEMPLATE

Open Official Tool / Repo ↗

I want to convert an in-depth report on "Autonomous AI Agents" into a viral two-host podcast episode using SoulX-Podcast.
Please generate:
1) [Article-to-Banter Transformation Prompt]: Converts dry research into an engaging coffee-shop chat between an inquisitive host and a candid industry veteran, packed with natural banter, rhetorical questions, and conversational interruptions;
2) [SoulX Annotation Rules]: How to inject expressive tags (`[laugh]`, `[sigh]`, `[overlap]`) for organic chemistry between speaker voices;
3) [Audio Post-Production Script]: Python script auto-mixing intro/outro background music and normalizing loudness to industry standard -16 LUFS.

Use Cases & Tags:

Converting 20-page financial reports into engaging 15-minute two-host commute podcastsRepurposing long newsletter articles into polished multi-speaker audio showsTransforming dry academic study materials into engaging mentor-student banterTurning corporate engineering documentation into entertaining company audio updates#soulx-podcast

Related AI Workflows

← Describe your idea on Home

AUDIO · Voice & Speech

20 MIN

VoiceStudio: Fully Local Open-Source ElevenLabs Alternative for Instant Voice Cloning & Video Dubbing in 646 Languages

A sensational open-source, local-first ElevenLabs alternative boasting 89k+ GitHub stars! VoiceStudio eliminates subscription lock-in, per-character metering, and cloud data leaks. It unifies state-of-the-art open-source audio architectures (XTTS-v2, CosyVoice, F5-TTS, Chatterbox, Whisper, Kokoro) within an elegant local web interface. Featuring 3-second instant zero-shot voice cloning, cross-lingual voice transfer across 646 languages, emotional prosody control, and automated video dubbing with timeline sync. Optimized for CUDA and Apple Silicon MLX with zero external network dependencies.

VoiceStudio (Open Source)Python 3.10+PyTorch (CUDA / Apple Silicon MLX)Whisper

Best for: Video creators, cross-border localization teams, game developers, audiobook publishers, privacy-critical enterprise teams

Full guide ↗

AUDIO · Voice & Speech

10 MIN

Generate Full Vocal Songs & Arrangements Locally on 4GB Low-VRAM GPUs with ACE-Step 1.5

Say goodbye to costly Suno subscriptions and cloud queues. ACE-Step 1.5 is a breakthrough open-source local music generation engine distilled for low-resource hardware, running full vocal song composition on just 4GB VRAM. Specify genres (Pop, Folk, Rock, EDM), BPM, keys, and structured lyrics to synthesize broadcast-quality tracks with crisp lead vocals and arrangements in seconds.

ACE-Step 1.5 (Open Source)PythonPyTorchGradio WebUI

Best for: Indie musicians, YouTubers, game developers, commercial sound designers, music production enthusiasts

Full guide ↗

AUDIO · Voice & Speech

15 MIN

Design Custom Voices and Control Emotions with Natural Language Prompts via FireRedTTS

FireRedTTS by Xiaohongshu supports natural language voice design and granular emotional control. Describe any vocal persona in plain text (e.g. "a husky, sleepy midnight radio host") and inject fine-grained emotional tags (sigh, angry, cheerful) directly into specific dialogue phrases without needing any reference audio recordings.

FireRedTTS (Open Source)PythonPyTorchGradio

Best for: Video essayists, drama skit creators, indie game developers, animation directors, podcast producers

Full guide ↗

AUDIO · Voice & Speech

15 MIN

Zero-Shot Ultra-Realistic Voice Cloning across 30+ Languages & 9 Chinese Dialects with VoxCPM2

VoxCPM2 is an open-source end-to-end audio foundation model by Tsinghua and ModelBest. With just a few seconds of reference audio, it achieves zero-shot cloning across 30+ global languages and 9 Chinese dialects (Cantonese, Sichuanese, Minnan, Wu, etc.) with lifelike breathing, natural pauses, and emotional nuances.

VoxCPM2 (Open Source)PythonPyTorchGradio WebUI

Best for: Content creators, cross-border marketers, game audio designers, audiobook narrators, cultural preservationists

Full guide ↗

AUDIO · Voice & Speech

15 MIN

Run 70x Real-Time Speech Transcription with Word-Level Timestamps & Diarization via Open-Source WhisperX

Vanilla Whisper suffers from timestamp drift, silence hallucinations and slow sequential decoding. Use Oxford’s open-source WhisperX (15k+ GitHub stars) combining batched Faster-Whisper, Wav2Vec2 phoneme forced alignment and PyAnnote speaker diarization for 70x real-time transcription with exact word-level timestamps.

WhisperX (Oxford Open Source)Wav2Vec2 Alignment ModelPyAnnote Audio

Best for: Short-video editors, podcasters, subtitle teams, researchers

Full guide ↗

AUDIO · Voice & Speech

10 MIN

Run Ultra-Fast Broadcast-Quality Local TTS on Any Laptop CPU with Open-Source Kokoro-82M & F5-TTS

Think realistic local Text-to-Speech requires a beefy Nvidia GPU? Open-source Kokoro-82M (only 82M parameters, <100MB quantized ONNX) tops TTS Arena leaderboards while running 5x faster than real-time on a standard laptop CPU, and F5-TTS clones voices with zero training.

Kokoro-82M / kokoro-onnx (Open Source)F5-TTS (Open Source)

Best for: Audiobook listeners, content creators, indie developers, language learners

Full guide ↗