Universal-3.5 Pro
PulseAugur coverage of Universal-3.5 Pro — every cluster mentioning Universal-3.5 Pro across labs, papers, and developer communities, ranked by signal.
- 2026-09-01 product_launch AssemblyAI has launched Universal-3.5 Pro, a speech-to-text model tailored for HR and recruiting. source
- 2026-08-19 product_launch AssemblyAI released Universal-3.5 Pro for pre-recorded audio, featuring enhanced code-switching and contextual prompting capabilities. source
- 2026-08-11 product_launch AssemblyAI released the Universal-3.5 Pro model, enhancing its multilingual transcription capabilities with expanded code-switching support. source
- 2026-07-08 product_launch AssemblyAI has launched Universal-3.5 Pro, a new speech-to-text model designed to improve accuracy on challenging audio. source
5 day(s) with sentiment data
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AssemblyAI details speech AI selection for meeting platforms
AssemblyAI's blog post details how virtual meeting platforms should select their speech AI layer, emphasizing that the decision is no longer *if* to use AI, but *which* AI to use. The post highlights that standard accur…
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AssemblyAI details speech-to-text cleanup process
AssemblyAI's latest blog post details the two-stage process of transforming raw speech into finished text. The first stage, recognition, involves accurately transcribing spoken words, with contextual and keyterms prompt…
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AssemblyAI details Universal-3.5 Pro speech-to-text accuracy, highlighting entity recognition
AssemblyAI has released new benchmark data for its Universal-3.5 Pro and Universal-3.5 Pro Realtime speech-to-text models, reporting normalized word error rates (WER) of 4.35% and 5.53% respectively. The company emphasi…
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AssemblyAI details transcript search, prioritizing entity accuracy
AssemblyAI's blog post details how to build effective transcript search systems, emphasizing the importance of entity accuracy over general word error rate. The process involves transcribing audio with word-level timing…
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AssemblyAI enhances AI notetaking with improved transcript accuracy
AssemblyAI has developed a new approach to AI notetaking that focuses on improving the accuracy of speech-to-text transcripts rather than just summarization. Their Universal-3.5 Pro model jointly generates transcripts a…
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AssemblyAI launches Universal-3.5 Pro for HR recruiting
AssemblyAI has released Universal-3.5 Pro, a speech-to-text model specifically designed for HR and recruiting tasks. This model focuses on improving name entity recognition, which is crucial for accurate interview trans…
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AssemblyAI API streamlines medical note-taking with integrated AI features
AssemblyAI has introduced a new API feature designed to streamline the creation of AI-powered medical note-takers. This single API integrates medical-grade transcription, speaker diarization to distinguish between clini…
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AssemblyAI launches Sync API for faster, single-request speech-to-text
AssemblyAI has introduced a new Sync Speech-to-Text API that streamlines the transcription process into a single request. This API eliminates the need for polling by pre-warming connections while audio is being captured…
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AssemblyAI launches Universal-3.5 Pro with advanced code-switching and contextual prompting
AssemblyAI has released Universal-3.5 Pro for pre-recorded audio, enhancing transcription accuracy across 18 languages. The model features native code-switching, allowing it to seamlessly transcribe mixed-language sente…
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AssemblyAI launches Universal-3.5 Pro speech-to-text API for startups
AssemblyAI has released its new flagship speech-to-text API, Universal-3.5 Pro, designed for startups seeking accuracy and real-time capabilities. This AI-first platform offers competitive performance with a low Word Er…
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AssemblyAI guides build vs. buy decision for AI speech recognition
AssemblyAI has published a guide to help companies decide whether to build their own AI speech recognition system or purchase an API. The article outlines key considerations such as accuracy, internal resources, iterati…
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AssemblyAI introduces cpWER to accurately measure speaker diarization accuracy
AssemblyAI has introduced a new metric called cpWER (concatenated minimum-permutation word error rate) to more accurately measure the performance of speaker diarization in speech-to-text systems. Unlike traditional word…
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AssemblyAI launches Universal-3.5 Pro with expanded multilingual transcription
AssemblyAI has released its Universal-3.5 Pro model, enhancing its multilingual transcription capabilities. This new model supports automatic language detection and native code-switching across 18 languages, a significa…
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AssemblyAI compares 8 top AI transcript summarizers for 2026
AssemblyAI has released a comparison of the top eight AI transcript summarizers available for 2026. These tools transform raw audio transcripts into concise summaries, highlighting key points, action items, and decision…
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AssemblyAI details true cost of speech-to-text services beyond hourly rates
AssemblyAI has published a guide to understanding the true costs associated with speech-to-text (STT) services, moving beyond simple per-hour rates. The company emphasizes that effective cost, which includes accuracy, r…
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AssemblyAI touts Universal-3.5 Pro over Whisper for production speech-to-text
AssemblyAI has published a comparison highlighting the advantages of its Universal-3.5 Pro model over OpenAI's Whisper Large-v3 for production speech-to-text applications. While Whisper is effective for clean audio and …
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AssemblyAI touts Universal-3.5 Pro over Qwen3-ASR for production speech-to-text
AssemblyAI has compared its Universal-3.5 Pro speech-to-text model against Alibaba's Qwen3-ASR, highlighting the advantages of its proprietary solution for production environments. While Qwen3-ASR is recognized as a cap…
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AssemblyAI contrasts its speech AI with NVIDIA's models for production use
AssemblyAI has published a comparison of its speech-to-text models against NVIDIA's Parakeet and Canary, highlighting differences between benchmark and production accuracy. While NVIDIA's models excel on standard benchm…
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AssemblyAI Universal-3.5 Pro outperforms ElevenLabs Scribe v2 in key speech-to-text benchmarks
AssemblyAI has released a comparison of its Universal-3.5 Pro model against ElevenLabs' Scribe v2, highlighting Universal-3.5 Pro's superior performance in key areas for production systems. The comparison, conducted by …
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Top 5 Amazon Transcribe Alternatives for Speech-to-Text in 2026
This article compares five alternatives to Amazon Transcribe for speech-to-text services in 2026. It highlights that while Amazon Transcribe offers basic transcription, many users seek higher accuracy, better features, …