Audioshake vs Klu.ai
Side-by-side comparison · Updated September 2026
| 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. | Klu is an all-in-one LLM App Platform that allows users to experiment, version, and fine-tune GPT-4 Apps. It supports collaborative prompt engineering, enabling teams to explore, save, and prototype completions, assistants, and workflows. The platform also offers functionalities for tracking and integrating changes into product development workflows, and it automatically evaluates prompt and model changes. The Klu platform is compatible with best-in-class LLMs such as Llama 2 and Mistral 7b, and it enables users to fine-tune custom models with curated data. |
| Category | Audio Editing | Project Management |
| Rating | No reviews | No reviews |
| Pricing | Usage-Based | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | audio source separationmusic stem separationdialogue separationlyric alignmentaudio API | LLM App Platformprompt engineeringGPT-4fine-tuningcollaboration |
| 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 | ||
| Support for best-in-class LLMs like Llama 2 and Mistral 7b | ||
| Collaborative prompt engineering | ||
| Tracking and integrating changes into product development workflows | ||
| Automatic evaluation of prompt and model changes | ||
| Free trial for initial AI app development and prototyping | ||
| Fine-tune custom models with curated data | ||
| Secure hosting solutions for enterprises | ||
| Multi-tenant architecture for deploying OS models privately | ||
| Rapid development and deployment capabilities | ||
| Regulatory compliance and data privacy | ||
| View Audioshake | View Klu.ai | |
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