Audioshake vs Llm.report
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. | llm.report is an open-source logging and analytics service specifically designed for monitoring OpenAI API usage. Despite no longer being actively maintained, the platform continues to provide valuable insights into API performance. Users benefit from features such as real-time logging, detailed analytics, usage reports, and alerts, with various plans to accommodate different needs including a Free plan for small projects and a Pro plan for teams. The Enterprise plan offers additional support and compliance. llm.report is backed by a strong community and has earned positive testimonials from its users. |
| Category | Audio Editing | API Monitoring |
| 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 | logginganalyticsOpenAI APIreal-time |
| 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 | ||
| Real-time logging | ||
| Detailed user analytics | ||
| Usage reports | ||
| Alerts | ||
| Unlimited logs (Pro) | ||
| Tracking multiple API keys | ||
| Data exports | ||
| SOC 2 compliance | ||
| 24/7/365 priority support | ||
| Priority feature requests | ||
| Private Slack channel | ||
| View Audioshake | View Llm.report | |
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