Top 10 Scrawly Alternatives & Competitors

Top 10 Alternatives to Scrawly Recently Reviewed By G2 Community

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Krisp
By Krisp Technologies, Inc.
4.7/5
(1,016)
Product Description
Krisp delivers real-time Voice AI technology that improves digital conversations across meetings, contact centers, and embedded applications. The platform combines noise and echo removal, background voice cancellation, accent conversion, live voice translation, transcription, meeting summarization, and agent assistance in one solution. Krisp technology is deployed on more than 200 million devices and processes over 75 billion minutes of voice conversations each month. Organizations use it to capture accurate meeting records, enhance customer interactions, and build new voice-enabled products. Contact centers and service providers report measurable impact, including reductions in noise-related complaints, faster call handling, and higher customer satisfaction. By operating on-device and in the cloud, and by supporting any microphone, headset, or communication app, Krisp provides a scalable, privacy-focused layer of real-time voice AI for businesses of every size.
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Categories in common with Scrawly:
Voice Recognition

Rev
By Rev
4.7/5
(560)
Product Description
Rev is a speech technology company dedicated to making your conversations more productive and meaningful. Our suite of Speech-to-Text solutions blends AI speed and human accuracy, ensuring fast and reliable results that not only capture your conversations but also analyze and synthesize them.
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Categories in common with Scrawly:
Voice Recognition

Otter.ai
By Otter.ai
4.4/5
(442)
Product Description
Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.
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Categories in common with Scrawly:
Voice Recognition
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Google Cloud Speech-to-Text
By Google
4.6/5
(237)
Product Description
Google Cloud Speech-to-Text is a service that enables developers to quickly and accurately convert audio to text by applying neural network models in an easy to use API. The API covers 73 languages and 137 different local variants to support a global user base and can be used to power media voice control systems, content captioning and analysis, conversational platforms and more.
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Categories in common with Scrawly:
Voice Recognition

Notta
By Notta
4.4/5
(227)
Product Description
Notta automatically converts meetings, interviews, and other audio/video into accurate text. Transcribe, edit, summarize, and collaborate in a single workflow to stay productive.
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Categories in common with Scrawly:
Voice Recognition

GlobalLink
By TransPerfect
4.5/5
(190)
Product Description
GlobalLink enables organizations to streamline the localization process for all business needs.
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Categories in common with Scrawly:
Voice Recognition

AssemblyAI - Speech to Text API
By AssemblyAI
4.6/5
(102)
Product Description
We're a team of engineers and researchers, and we're working to give developers and global companies an alternative to big tech companies when it comes to advanced AI solutions.
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Categories in common with Scrawly:
Voice Recognition

Mihup
By Mihup Communications Private Limited.
4.7/5
(66)
Product Description
Mihup is the new frontier in Conversational AI. Our platform enables enterprise developers to create customized voice interfaces with full control over brand identity and privacy. Our interaction analytics solution provides 100% analysis of a call center’s customer interactions to derive actionable insights to improve sales, collection and customer services. We are an enterprise ready platform for both native cloud or edge deployments.
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Categories in common with Scrawly:
Voice Recognition

Azure AI Speech
By Microsoft
3.9/5
(64)
Product Description
Azure Custom Speech Service helps you to overcome speech recognition barriers such as speaking style, vocabulary and background noise.
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Categories in common with Scrawly:
Voice Recognition

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• Easily shop for curated – and trusted – software
• Own your own software buying journey
• Discover exclusive deals on software

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