Nine dictation APIs, including AssemblyAI and Deepgram, are evaluated for features, accuracy, and pricing, serving developers in a growing market.

Developers seeking to integrate dictation capabilities into their applications have a wide range of API options in 2026. A recent evaluation by AssemblyAI compares nine leading dictation APIs, focusing on critical factors such as speed, accuracy, customization, and pricing. This analysis is significant as the global speech-to-text API market is projected to grow substantially, with Mordor Intelligence estimating it at $2.87 billion in 2026 and forecasting a compound annual growth rate (CAGR) of 20.23% through 2031.

The AssemblyAI report evaluates nine dictation APIs, including its own AssemblyAI Dictation API, alongside offerings from Deepgram, ElevenLabs, OpenAI, Google Cloud, Azure, AWS, Speechmatics, Gladia, and the Web Speech API. Each API is reviewed based on its ability to deliver cleaned, formatted text suitable for dictation use cases, as opposed to raw transcription. The comparison highlights the importance of features such as real-time output, customization options, language coverage, and cost efficiency.

Dictation APIs differ from traditional speech-to-text APIs by providing finalized, structured text ready for use, eliminating the need for additional cleanup by developers. AssemblyAI’s report notes that latency—measured as the time to deliver finished text—is a crucial factor for push-to-talk dictation workflows, where users expect near-instantaneous results.

Among the APIs reviewed, the AssemblyAI Dictation API stands out for its ability to return both a cleaned dictation output and a verbatim transcript in a single call. 62 per hour, it supports per-request customization through parameters like llm_instruction for formatting and keyterms_prompt for recognizing specific jargon or product names.

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