Scalable Speech & Audio Annotation
Transform speech and sound into structured datasets with secure, scalable audio annotation services that power advanced AI and machine learning applications.
Annotera provides professional audio annotation services that turn raw speech and sound into structured datasets for AI, NLP, and machine learning. As a trusted U.S.-based data annotation and BPO company, we deliver scalable, accurate, and secure solutions for industries including healthcare, retail, customer service, and security. Our services cover transcription, speech labeling, audio classification, and speaker identification to train advanced speech recognition and voice-enabled applications. With over 20 years of outsourcing expertise, Annotera ensures context-rich, multilingual audio annotation that empowers businesses to build intelligent, production-ready AI systems at scale.
We deliver tailored audio annotation solutions, covering multiple languages and use cases, ensuring AI systems learn to interpret human speech with unmatched accuracy.
Annotera combines human expertise with advanced workflows to provide reliable audio annotation services that support enterprise-scale AI and speech recognition initiatives.
High Accuracy
Human-in-the-loop ensures precision across complex speech datasets.
Multilingual Reach
Native linguists handle diverse languages, dialects, and accents.
Secure Delivery
SOC-compliant processes safeguard sensitive audio data end-to-end.
We deliver secure, scalable, and affordable audio annotation outsourcing services backed by decades of BPO expertise and skilled linguists worldwide.
Proven Outsourcing Experience
20+ years in BPO ensures reliable annotation services.
Affordable Pricing
Cost-effective solutions reduce project costs without sacrificing accuracy.
Expert Annotators
350+ skilled linguists manage complex, multilingual audio datasets.
Fast Turnaround
24/7 workforce availability accelerates large audio projects efficiently.
Quality Assurance
Multi-level checks guarantee precise, context-aware annotations every time.
Scalable Teams
Flexible workforce scales to meet enterprise project requirements globally.
Here are answers to common questions about audio annotation and how Annotera supports enterprise-scale AI and speech recognition projects.
Audio annotation is the process of labeling sound or speech data with metadata such as transcription, speaker ID, or sentiment. This structured data enables machine learning models to accurately interpret voice commands, conversations, and sound events across industries, from healthcare dictation to customer service automation.
Popular techniques include transcription, speaker diarization, intent recognition, sentiment labeling, noise tagging, and audio classification. Each method helps train AI to better interpret and respond to audio input. Annotera’s services cover all major techniques, ensuring that your speech-enabled applications are powered by accurate and context-rich datasets.
