Audioshake vs LLMStack
Side-by-side comparison
| Description | AudioShake separates an existing recording into sources such as vocals, instruments, dialogue, music and effects. It also offers speech cleanup, speaker separation, lyric transcription and word-level lyric alignment. Use those outputs in editing, dubbing, remixing or audio analysis, and listen for leakage and changed sounds before delivery. Its lyric transcription is not a general-purpose speech-to-text service; separated speech can instead feed a dedicated transcription workflow. The developer API includes 10 credits on signup. Usage is billed per source-audio minute for each target model, rounding the duration up to the next minute. A 2 minute 10 second recording processed by vocals and instrumental models at one credit per minute each costs six credits. Instrument stems and lyric transcription/alignment cost one credit per minute; dialogue, effects and speech denoise cost 1.5, dereverb two, multi-voice and music removal ten, and music detection 0.5. Credit rates are not dollar prices. Dereverb also reduces noise, so avoid automatically paying for both cleanup models when one meets the task. Choose AudioShake Live for its professional web workflow, Indie for its artist-oriented route, the API for asynchronous jobs and batches, or a separately licensed Local Inference SDK for on-device or self-hosted integration. Check the target model's input limits: multi-voice accepts at most 1.5 hours, while lyric transcription and alignment accept at most 45 minutes. Pilot the required source material and integration before committing to a production pipeline. AudioShake's August 2026 terms identify Audioshake, Inc. Customers retain content ownership and must have the rights to upload and process it. The agreement permits service improvement and development uses of content, while promising not to sell it or use it to train models designed to generate new original musical compositions or sound recordings. That is a narrower promise than a ban on all model training. Confirm the applicable Order Form for third-party or service-bureau integrations and agree retention requirements for confidential audio. | LLMStack is a source-available builder for AI agents, workflows and chatbots that combine model calls with your own data. Its visual builder can chain multiple models and connect data sources, making it more suitable for assembling an application or process than for simply opening a personal chat app. The project documents deployment on your own infrastructure and points to Promptly as its hosted offering. Supported data inputs include documents, websites and connected sources such as Google Drive and Notion. The builder provides preprocessing and vectorization for retrieval workflows. Apps can be shared publicly or with selected people, and viewer and collaborator permissions control access to shared work. The repository also documents HTTP API access and Slack or Discord triggers. Plan for infrastructure, model-provider usage, credentials and permissions as separate decisions. Installing a self-hosted builder does not make externally hosted models free or keep every data request local. Start with a limited workflow and representative documents, review the generated output, and confirm the permissions required by each connected source before expanding access. Compare AnythingLLM when a document-chat workspace is the main need; LLMStack is oriented toward composing the application and its workflow. |
| Category | Audio Editing | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Usage-Based | Unknown |
| Starting Price | N/A | N/A |
| Plans | — |
|
| Use Cases |
|
|
| Tags | audio source separationmusic stem separationdialogue separationlyric alignmentaudio API | Open sourceAI agentsWorkflowsApplicationsData |
| Features | ||
| Music and instrument stem separation | ||
| Dialogue, music and effects separation | ||
| Speech denoise and combined dereverb/denoise | ||
| Multi-speaker separation | ||
| Lyric transcription and word-level alignment | ||
| Asynchronous API jobs, webhooks and batches | ||
| Separate Live, Indie and Local Inference SDK access | ||
| Visual AI workflow and model-chain builder | ||
| Data imports from documents, websites and connected services | ||
| Document preprocessing and vectorization | ||
| Viewer and collaborator permissions | ||
| Self-hosted deployment instructions | ||
| Hosted offering through Promptly | ||
| HTTP API access for apps and chatbots | ||
| Slack and Discord workflow triggers | ||
| View Audioshake | View LLMStack | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with Audioshake and LLMStack.