AssemblyAI

Paid, $0.00025/second

Multilingual Speech-to-Text API with near-human accuracy

About

AssemblyAI provides an advanced speech-to-text API designed for seamless integration into software products and platforms. Its core strength lies in handling real-time and batch audio transcription with a high degree of accuracy, regardless of background noise or speaker diversity. By supporting multiple languages and dialects, it caters to global applications and varied linguistic needs.

Developers can leverage rich features such as speaker recognition, sentiment extraction, and automated redaction of sensitive data. These capabilities make the API versatile for tasks like meeting transcription, call analytics, and podcast captioning.

Performance and reliability are key focuses, with robust uptime and compliance to strict data security standards (SOC 2 Type 2). While best suited for teams with coding resources, AssemblyAI’s flexibility allows for deployment across industries needing automated, scalable voice data processing.

Who is AssemblyAI made for?

Software Developer / Engineer Product Manager Data Analyst / BI Specialist
Small team (2-5 people) Startup (6-10 people) Growing startup (11-25 people)

Software developers and product teams building platforms that require automatic transcription or voice data analysis would find AssemblyAI especially useful. This includes companies developing communication tools, call center analytics, or media captioning workflows.

Media organizations, research groups, and enterprises that regularly handle audio recordings or need to process spoken content efficiently will benefit from features like speaker identification, sentiment analysis, and content moderation. The API is particularly relevant to teams focused on automating manual transcription, enhancing meeting documentation, or analyzing customer conversations at scale.

Ideal users are those comfortable with application development and seeking high accuracy and reliability in speech-to-text solutions, particularly within technology, media, and customer service sectors.