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Seed Audio 2.0 Review

Seed Audio 2.0 is an AI audio generation tool that allows users to create audio drafts by writing out scenes that include descriptions of speakers, settings, and desired sound elements.

shipped Aug 11, 2026voicepaid
voicewriting
Seed Audio 2.0 — product screenshot

Why it matters

1Seed Audio 2.0 offers a multimodal input approach, accepting text, audio, and images for audio generation.
2The platform provides a paid, credit-based pricing model, including a Starter pack at $9.90 and a Creator pack at $29.90.
3It features an API, with documentation available at byteplus.com, and trains on user data 'always'.
4Users can generate up to 2 minutes of audio per scene, with longer projects achievable through scene concatenation.

About Seed Audio 2.0

Business Model
Per-Job Pricing
Usage Pricing
5 credits per minute per credits
Free Credits
10 free credits
Target Audience
Content creators and sound designers

Pricing Plans

Starter credits
$9.90
  • • 120 Seed Audio 2.0 credits
  • • Up to 24 generated audio minutes
  • • Text, audio, and image references
  • • Audio generation history
Creator credits
$29.90
  • • 500 Seed Audio 2.0 credits
  • • Up to 100 generated audio minutes
  • • Text, audio, and image references
  • • Audio generation history
Studio credits
$99.90
  • • 2,000 Seed Audio 2.0 credits
  • • Up to 400 generated audio minutes
  • • Text, audio, and image references
  • • Audio generation history

Cost Examples

  • • Generate 1 minute of audio: 5 credits

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Seed Audio 2.0?

Seed Audio 2.0 is a AI audio generation tool developed by Seed Audio that enables content creators and sound designers to create comprehensive acoustic scenes from various inputs. It distinguishes itself by offering an all-in-one solution for generating dialogue, emotional tones, accents, ambient sounds, music, and foley effects within a single creative pass. The tool functions as a browser-based AI audio workspace, transforming written directions into comprehensive audio drafts. Users can input text prompts, and optionally guide the generation with reference audio or an image, to describe characters, emotions, locations, dialogue, musical moods, and sound events. Each generation can produce up to 2 minutes of audio, with longer projects achievable by creating separate scenes. Seed Audio 2.0 is accessible at seedaudio2.app.

features

Key Features of Seed Audio 2.0

Seed Audio 2.0 integrates several capabilities to facilitate the creation of detailed audio scenes from user inputs. Its core functionality focuses on generating complex soundscapes from simple prompts, distinguishing it from basic text-to-speech systems.

  • Multi-speaker output for dynamic dialogue scenes.
  • Multimodal input support, allowing text, image, and audio references.
  • Granular control over emotion and accent for character voices.
  • Integrated scene ambience and music generation within a single prompt.
  • Capability to generate longer audio scenes by combining multiple 2-minute segments.
  • AI audio generation for dialogue, sound effects, and background elements.
  • API available for programmatic integration and custom workflows.
  • Ability to place voices in specific acoustic environments and cue timed events.

use cases

Who Should Use Seed Audio 2.0?

Seed Audio 2.0 is designed for professionals and creators who require efficient generation of comprehensive audio drafts for various media productions. Its integrated scene generation capabilities cater to specific pre-production and prototyping needs.

  • Filmmakers: For drafting dialogue, emotional beats, foley, ambience, and music for storyboards or pre-visualization in short films and rough film scenes.
  • Podcasters: To generate drafts for podcast openings, intros, and audio dramas.
  • Game Developers: For prototyping ambient loops, character voices, UI sounds, and cinematic moments in game and XR prototypes.
  • Content Creators: For developing product demos with contextual audio, pre-production for lessons, and creator videos.
  • Product Developers: To create contextual audio for product demonstrations and marketing creatives.

how to use

How to Use Seed Audio 2.0

Seed Audio 2.0 operates as a browser-based AI audio workspace, allowing users to create audio drafts by inputting scene descriptions. The process involves defining speakers, settings, and desired sound elements through text prompts, with optional multimodal guidance.

  • 1Access the Seed Audio 2.0 platform via seedaudio2.app.
  • 2Input a text prompt describing the desired audio scene, including speakers, settings, and sound elements.
  • 3Optionally upload reference audio or an image to guide the AI's generation.
  • 4Specify emotional tones, accents, ambient sounds, and music moods within the prompt.
  • 5Generate the audio draft, which can be up to 2 minutes in length per scene.
  • 6Combine multiple generated scenes to create longer audio projects.

pricing

Seed Audio 2.0 Pricing & Plans

Seed Audio 2.0 utilizes a credit-based system for its services, offering one-time credit pack purchases rather than recurring subscriptions. New users receive 10 free credits to evaluate the platform. Usage is calculated at 5 credits per minute of generated audio.

  • Starter credits: $9.90 for a small one-time credit pack.
  • Creator credits: $29.90, which includes 500 credits, providing approximately 100 minutes of audio generation.
  • Studio credits: $99.90 for larger credit packs.

Pros

  • +Generates complete acoustic scenes (dialogue, ambience, music, foley) from a single prompt.
  • +Supports multimodal inputs (text, audio, image) for enhanced control over generation.
  • +Offers granular control over emotional tones and accents for character voices.
  • +Provides an API for integration into custom workflows and applications.
  • +Includes 10 free credits, allowing users to test the platform's capabilities.
  • +Capable of generating multi-speaker dialogue within a single scene.

Cons

  • −Specific user reviews for seedaudio2.app are not widely available, making independent reception assessment difficult.
  • −The maximum audio generation per scene is limited to 2 minutes, requiring concatenation for longer projects.
  • −Training on user data is 'always' enabled, which may be a privacy concern for some users.
  • −The credit-based pricing model may lead to variable costs depending on usage volume.
  • −Lacks explicit details on recent product updates for seedaudio2.app, beyond general industry trends.

Policies

Pricing Page

View Pricing→

Similar Tools

Seed Audio 2.0 vs Competitors

Seed Audio 2.0 positions itself as an all-in-one audio generation tool, aiming to surpass traditional text-to-speech by integrating multiple sound layers simultaneously. This approach differentiates it from tools requiring manual assembly of voice, music, and effects.

1
ScenemaAI↗

Generates speech with environmental audio in a single diffusion pass based on scene descriptions, and offers zero-shot expressive voice cloning.

As an open-source GitHub repository, it requires technical setup and expertise to use, unlike Seed Audio 2.0's user-friendly hosted platform. While it combines voice and environment, its multimodal input from images might be less direct than Seed Audio 2.0.

2
HiggsfieldOn Stork

Generates cinematic multi-scene videos with background audio, sound effects, and realistic voices from text and image inputs.

Higgsfield is primarily a video generation platform, so its workflow is centered around visual content, whereas Seed Audio 2.0 is purely audio-focused. However, its ability to generate scene-based audio with multimodal input is a strong match for Seed Audio's capabilities.

3
Adobe Firefly (Audio Features)On Stork

Provides separate AI tools for generating speech, sound effects, and music, allowing users to combine them for complex audio scenes.

Unlike Seed Audio 2.0's integrated scene description, Firefly requires users to generate and combine different audio elements (speech, SFX) manually, which might involve a more fragmented workflow to achieve a complete scene.

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