Audioshake vs Scite
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. | The Scite Assistant is an advanced AI research partner designed to provide insightful and controllable answers to various questions. This product leverages the power of Large Language Models (LLMs) to optimize research-specific workflows. It features customizable settings that allow users to guide its behavior, such as deciding on the necessity of references and filtering search results by year, topic, and publication type. The Assistant can also be directed to use specific collections or journals, and it offers control over the length of its responses. |
| Category | Audio Editing | Research |
| Rating | No reviews | No reviews |
| Pricing | Usage-Based | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | audio source separationmusic stem separationdialogue separationlyric alignmentaudio API | AIresearchLarge Language Modelscustomizable settingsreferences |
| 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 | ||
| Insightful AI-powered answers | ||
| Customizable search parameters | ||
| Large Language Models (LLMs) | ||
| Control over reference necessity | ||
| Filters for year, topic, publication type | ||
| Use of specific collections or journals | ||
| Adjustable response length | ||
| Suitable for a wide range of questions | ||
| Web-based platform | ||
| Ideal for academic research | ||
| View Audioshake | View Scite | |
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