Murf AI vs Otter.ai

Otter.ai has a disclosed valuation of $300M, while Murf AI's valuation is not publicly available, making a direct size comparison difficult. Otter.ai employs 150 people.

Otter.ai has raised more in total funding at $70M, compared to Murf AI's $11.5M — a gap of $58.5M. Combined, the two companies have completed 4 known funding rounds.

Otter.ai leads with an Awaira Score of 64/100, while Murf AI sits at 58/100. That 6-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Murf AI was founded by Sneha Roy in 2020. Otter.ai was founded by Sam Liang in 2016. Visit each company's profile on Awaira for a full founder biography.

Murf AI: Murf AI is an Indian artificial intelligence company specializing in text-to-speech and voice synthesis technology. Founded in 2020, the company develops AI-powered tools that convert written text into natural-sounding audio across multiple languages and voices. The platform enables content creators, marketers, educators, and enterprises to generate voiceovers without requiring professional voice actors or recording studios. The company's core product is a cloud-based text-to-speech platform featuring customizable AI voices with adjustable parameters such as tone, speed, and emphasis. Murf AI's technology supports various use cases including video creation, podcast production, e-learning content, audiobook narration, and advertising. The platform integrates with popular content creation tools and supports multiple languages, expanding accessibility across global markets. As of the latest available information, Murf AI has raised $12 million in total funding and is operating at the Series A stage. The company's valuation remains undisclosed. The text-to-speech market is increasingly competitive, with players including Google Cloud Text-to-Speech, Amazon Polly, and other emerging startups competing on quality, pricing, and feature sets. Murf AI targets the growing demand for scalable audio content production, positioning itself within the broader AI audio generation landscape. The company's growth trajectory reflects increased adoption of AI voice solutions across content creation and enterprise applications. Murf AI addresses the text-to-speech market with a focus on natural voice quality and ease of integration for content creators. Otter.ai: Otter.ai is an AI-powered transcription and meeting notes platform founded in 2016 and headquartered in the United States. The company develops automatic speech recognition technology that converts audio and video content into searchable, editable text transcripts in real-time. Its core product enables users to record meetings, interviews, lectures, and podcasts, automatically generating accurate transcriptions with speaker identification and timestamps. The platform serves multiple use cases across professional and educational sectors, including legal documentation, medical note-taking, business meetings, and content creation. Otter.ai integrates with popular communication tools like Zoom, Microsoft Teams, and Google Meet, allowing seamless meeting capture and transcription. The company employs machine learning models trained on diverse audio datasets to improve accuracy across different accents, technical terminology, and background noise conditions. As of the latest available data, Otter.ai has raised $63 million in total funding and maintains a valuation of $300 million, placing it in Series B stage. The company competes with established transcription services and emerging AI audio platforms. Its competitive advantages include real-time transcription capabilities, integration ecosystem, and consumer-accessible pricing tiers. The audio intelligence market has experienced significant growth as remote work and digital collaboration expand, positioning Otter.ai within a rapidly expanding sector focused on converting spoken content into structured, searchable data. Otter.ai democratizes transcription through AI-powered real-time speech-to-text technology integrated directly into workplace communication platforms.

Otter.ai got there first, launching in 2016 — that's 4 years of extra runway. Murf AI didn't arrive until 2020. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Murf AI has about 125 employees; Otter.ai has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Murf AI and Otter.ai compete in AI Audio, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.