Anonymize faces and audio in long-form videos at enterprise scale. Minimize legal risk, achieve GDPR and CCPA compliance, and preserve data utility for AI and analytics - all with verifiable, audit-ready logs.
Enterprise-grade tools designed for the modern compliance landscape.
Reduce operational costs by 60–70% compared to manual video redaction workflows. Our automated AI pipeline processes long-form video in bulk, eliminating the need for frame-by-frame human review and dramatically cutting time-to-compliance.
Deploy Streamingo Anonymize on your preferred infrastructure - public cloud, private cloud, or at the edge directly on existing hardware. Designed for organizations that cannot send sensitive footage outside their own environment.
Integrate video anonymization directly into your existing data pipelines and MLOps workflows via our low-latency REST APIs. No proprietary formats, no vendor lock-in - Streamingo fits where your data already lives, accelerating development and deployment cycles.
Automatically redact personally identifiable information (PII) — including faces and audio - while preserving the visual utility of your footage for downstream AI training, analytics, and research. Compliance without sacrificing data value.
High-throughput processing pipelines purpose-built for long-duration video. Whether you're processing dashcam footage, surveillance recordings, or research video collections, Streamingo delivers fast turnaround without sacrificing detection accuracy.
Every anonymization job generates verifiable, time-stamped audit logs that document what was redacted, when, and how. Designed to satisfy GDPR data minimisation requirements, CCPA deletion records, and HIPAA audit trails - ready for regulatory review.
Enterprise-ready tools for comprehensive privacy protection.
Apply precision anonymization while preserving visual content and insight.
Automatically anonymize sensitive speech in videos in video content, extending privacy protection beyond visuals.
Maintain reliable anonymization across every frame of long-form videos, ensuring privacy integrity at scale.
Fine-tune anonymization results through human-in-the-loop controls before final output.
Create an account and access the platform through our intuitive UI or via REST APIs. Upload videos or images from your local device or by providing a URL. Our system processes and anonymizes your data, allows you to review and edit AI-generated detections, and enables you to download the final anonymized files using either the UI or REST APIs.
Access the system through our user interface or authenticate using REST APIs.
Submit videos or images by uploading files from your computer or entering a URL. Supports both UI-based uploads and REST API submissions.
Retrieve processed and anonymized outputs through the UI or using REST APIs.
Refine and adjust AI-generated detections before finalizing your anonymized output.
Enterprise-grade processing power built for the demands of large video datasets.
Integrated into video and data ecosystems across industries that handle sensitive public-space footage at scale.
Precision facen across diverse lighting and camera conditions, validated on large-scale video datasets.
Compared to manual redaction workflows, our automated pipeline cuts operational costs by up to 70% for long-form video at scale.
Full REST API access for seamless integration into existing data pipelines, MLOps workflows, and cloud infrastructure - no vendor lock-in.
Every organization's data anonymization needs are unique. We offer flexible, enterprise-grade pricing tailored to your data volume, compliance requirements, and deployment preferences. Talk to our experts to get a personalized solution built specifically for your business.
Most anonymization tools were designed for images or short clips. Streamingo Anonymize was engineered from the ground up for the demands of long-form, high-volume video — the type that autonomous vehicle programs, retail analytics teams, and public safety organizations deal with every day.
Anonymization happens at the pipeline level — before data reaches storage, analytics, or training systems. This is the correct architectural approach for GDPR Article 25 compliance (data protection by design and default), not a post-processing afterthought.
AI detections are not final until your team says so. The built-in review interface lets operators add, remove, or adjust redaction regions before export — a critical safeguard for regulated industries where missed PII carries legal liability.
On-premise and edge deployment options ensure raw video never leaves your environment. For organizations subject to data residency requirements or sector-specific regulations, this removes a major category of compliance risk entirely.
Not sure whether your current video data workflows are GDPR or CCPA compliant? Talk to our team. We'll assess your data collection practices, identify PII exposure risks in your video pipeline, and show you exactly how Streamingo Anonymize reduces your regulatory liability - without disrupting your existing infrastructure.
Everything you need to know about deploying AI-powered video anonymization across your compliance, engineering, and research workflows.
Streamingo Anonymize is an AI-powered privacy platform that automatically redacts faces, license plates, full-body identities, and audio in video content with 98%+ detection accuracy.
Streamingo offers Private Cloud, and local Edge deployment options. On-premise Edge processing ensures raw video never leaves your infrastructure, meeting strict regional data residency rules.
Streamingo automates PII and PHI redaction at scale to help enterprises satisfy strict regional data protection mandates. It enforces Privacy by Design principles under GDPR and India's Digital Personal Data Protection (DPDP) Act by anonymizing visual data before storage, protects patient health identities to ensure HIPAA compliance, and supports CCPA/CPRA obligations by stripping consumer identifiers while generating verifiable, audit-ready compliance logs.
Yes. Developers can integrate low-latency REST APIs directly into custom software.
Automated processing reduces operational redaction costs by 60–70% compared to manual frame-by-frame blurring, offering high-throughput processing for long-duration datasets.
Yes. Teams can inspect, edit, and fine-tune AI-generated visual bounding boxes or audio detections via an intuitive UI before exporting the final file.
Yes. It is used across market research, CPG consumer studies, and healthcare to mask facial and audio identities while preserving subject behavior and background data utility.
No. Built around Zero Data Retention risk, data is processed in-line and non-retentive, keeping your raw video secure inside your designated environment.
You can request a custom pricing quote or technical evaluation by emailing sales@streamingo.ai.
