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1.2M+
Audio Minutes Annotated
98%
Linguistic Accuracy
45+
Global Clients
50+
Supported Languages
100%
Secure Workflows
Achievments
ABOUT
At Anotag, we turn raw audio into structured, machine readable data that trains speech, sound, and voice based AI systems.
Our Audio Annotation Services cover transcription, tagging, and speaker identification all performed with accuracy, context awareness, and cultural nuance.
From virtual assistants and speech-to-text engines to emotion recognition systems and media monitoring AI, our teams ensure your models not only hear sound but truly understand meaning, intent, and emotion.
We combine AI-assisted tools with expert human validation to deliver scalable, high-quality datasets in multiple languages, accents, and domains.
Things We Do
We provide end-to-end audio annotation and transcription solutions tailored to diverse data and model needs.
01
Speech Transcription
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Convert audio into text with high linguistic accuracy, supporting multilingual speech-to-text, call analytics, and dictation AI systems.
02
Speaker Identification & Diarization
Identify speakers, timestamps, and overlaps
for meetings, podcasts,
and support AI.
03
Emotion & Sentiment Tagging
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Annotate tone, mood, and emotion to enhance conversational AI, sentiment
analysis, and behavioral understanding.
04
Sound Event Detection & Tagging
Identify and classify sounds like alarms, machinery, traffic, or background noises for surveillance, automotive, and smart devices.
05
Audio Classification
Categorize clips by type, environment, or source to improve recommendation systems, media tagging, and acoustic AI models.
06
Phonetic & Linguistic Annotation
Mark stress, pronunciation, and phoneme-level details for ASR (Automatic Speech Recognition) and language modeling.
07
Custom Audio Workflows
We build customized pipelines for specialized tasks from medical transcription to multilingual annotation and acoustic labeling.
OUR PROCESS
Requirement Assessment & Data Strategy
We analyze your project goals, audio sources, and languages to define annotation requirements and accuracy benchmarks.
Audio Preprocessing & Segmentation
Audio files are cleaned, segmented, and normalized for optimal clarity and labeling consistency.
Annotation & Labeling
Domain experts annotate speech, sound, and emotion layers using AI-assisted tools for faster turnaround.
Quality Control & Review
Multi-tier QA ensures linguistic accuracy, timestamp precision, and contextual correctness.
Secure Delivery & Integration
Validated datasets are encrypted and delivered in your preferred format — JSON, CSV, XML, or custom schema — ready for ML training pipelines.
Client Review & Iteration
Continuous feedback cycles refine annotation logic and maintain alignment with evolving model needs.
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Industries We Serve
Our audio annotation solutions power speech, sound, and conversation
intelligence across diverse industries
01
Technology & AI Startups
Training data for voice assistants, LLM-based agents, meeting AI, and speech-driven automation tools.
02
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Healthcare & Life Sciences
Doctor–patient transcription, medical call summaries, and audio-based clinical insight extraction.
03
Manufacturing & Robotics
Machine sound detection, anomaly identification, and audio-triggered automation workflows.
04
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Transportation & Logistics
Driver–fleet communication analysis, call transcription, and in-vehicle voice system training.
05
Media & Entertainment
Podcast segmentation, speaker labeling, emotion detection, and content moderation for audio clips.
06
Retail & E-Commerce
Customer call-center tagging, sentiment annotation, intent recognition, and voice support automation.
07
Agriculture & AgriTech
Audio-based livestock monitoring, machinery sound detection, and environment-triggered analytics.
08
Automotive
In-car voice command systems, driver monitoring audio cues, and multimodal cabin intelligence.
09
Education
Lecture transcription, classroom audio classification, and dataset creation for academic AI models.
10
Fintech
Call-center compliance tagging, KYC voice verification, fraud intent detection, and sentiment scoring.
11
security & surveillance
Gunshot detection, anomaly sounds, crowd noise analysis, and emergency event classification.
12
SPORTS & GAMES
Referee whistle detection, crowd audio analysis, commentator segmentation, and gameplay sound events.
13
LEGAL
Courtroom audio transcription, evidence audio labeling, speaker identification, and redaction workflows.
The Anotag Advantage
Precision, scalability, and trust — powering every conversation your AI understands.
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Multilingual Expertise
50+ languages and dialects supported across global markets.
Domain-Trained Annotators
Linguists, phoneticians, and industry experts for high-context accuracy.
AI-Assisted Speed
Smart pre-labeling and ASR tools enhance efficiency and reduce turnaround time.
Flexible Scale
From small audio clips to 10,000+ hours of data — we scale to match your needs.
Enterprise-Grade Security
ISO 27001–aligned environments, NDAs, and
full encryption.
Format Flexibility
Deliverables structured for direct ML integration or acoustic model training.
How We Ensure Quality
Human-in-the-Loop QA
Manual linguistic validation combined with automated accuracy checks.
Cross-Language Verification
Native language reviewers ensure clarity across multilingual datasets.
Gold Standard Sampling
Periodic benchmark reviews maintain quality consistency.
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Real-Time Dashboards
Track project progress, accuracy, and turnaround KPIs.
Security, Integration & Delivery
At Anotag, data privacy and compliance are integral to our labeling workflows.
Encrypted Audio Transfers
AES-256 encryption ensures
complete protection.
Controlled Access
Role-based permissions and
logging for secure collaboration.
Compliance Ready
GDPR, HIPAA, and ISO-aligned
handling of sensitive audio data.
Seamless Integration
Delivered datasets plug directly into your ASR, NLP, or analytics pipelines.
Ready to Make Your AI
Truly Listen?
Let’s Build Smarter, More Understanding Voice AI.
Book a quick demo to see how Anotag’s audio annotation services transform sound into intelligence training models that hear, interpret, and act with precision.