Introducing Pelayar AI Transcription, the world's most accurate speech-to-text system engineered for real-world audio challenges. Optimized for languages such as Indonesian, English, Mandarin, and Japanese, experience superior accuracy, precise word-level timestamps, and resilient handling of noisy or low-quality recordings. All delivered in a structured, seamless output.
Pelayar AI Transcription is built for unparalleled precision. Through rigorous benchmarking on diverse audio samples in Indonesian, English, Mandarin, and Japanese, it surpasses leading models like ElevenLabs Scribe, achieving significantly lower word error rates in critical languages. Whether for business meetings, podcasts, or field recordings, Pelayar delivers outstanding performance. It minimizes errors in situations where competitors falter, notably in underrepresented languages like Indonesian, where rival systems frequently exceed 4% error rates.
We’re making advanced transcription accessible. Pelayar effectively navigates through background noise, dialects, and audio distortions to yield dependable, contextually accurate text.
Businesses and creators can upload audio or video files directly through the Pelayar dashboard for immediate, interactive results. Access our system easily via the website to start transcribing without any setup.
Why Pelayar AI Transcription Excels
Exceptional Accuracy in Complex Languages
Our system's foundational advantage is its superior accuracy in languages that challenge conventional tools. With a specialized focus on nuances, dialects, and contextual elements in Indonesian and similar languages, Pelayar ensures the faithful preservation of intent and meaning in every transcription.
Robust Handling of Low-Quality Audio
Pelayar excels at deriving clear, accurate text from suboptimal recordings, including those with background noise, echoes, or indistinct speech. Leveraging advanced algorithms and machine learning adaptations, it outperforms alternatives on audio previously considered untranscribable.
Streamlined Workflow
Initiate transcription by uploading your file with automatic language detection, receiving results in minutes. Optional contextual inputs enhance precision further. All processes are secured with encryption, low-latency performance, and stringent privacy measures.
Benchmark Results
We selected ElevenLabs Scribe for comparison as it is widely recognized as the leading ASR model, delivering word error rates (WER) below 5% in over 25 languages, including Indonesian and Japanese, and outperforming competitors like Whisper Large V3, Deepgram Nova-3, and Gemini 2.0 Flash on benchmarks such as FLEURS and Common Voice. In contrast, standard market performance for speech-to-text models in challenging languages like Indonesian, Chinese, and Japanese often ranges from 5% to 10% WER or higher, as seen in models such as OpenAI Whisper (with WER up to 50% thresholds for supported languages) and others, highlighting the significant advancements Pelayar offers over typical industry benchmarks.
Our evaluations compared Pelayar against ElevenLabs on varied samples with verified ground-truth transcripts, incorporating contextual inputs for optimized performance. Pelayar demonstrates clear superiority, particularly in Indonesian, while performing on par in English.
These findings showcase Pelayar's strengths in higher accuracy for Indonesian and Japanese, on-par performance in English, and reliable results across multilingual scenarios.
We invite you to try Pelayar AI Transcription yourself and experience how it can meet your real-world needs effectively.