In a world flooded with filters and falsehoods, LiveTube stands for something different.
We believe everyone has the power to show reality as it unfolds.
LiveTube is more than a live-streaming app — it’s a movement for truth, authenticity, and empowerment.

Once an event ends, any clip can be edited, relabeled, or faked.
But live video — verified in the moment — is different.

By capturing source-proof signals (on-scene photo + written description + device telemetry), fusing them with independent real-time data, and adding editorial judgment on a short safety delay, we can prove place, time, and context—while it’s happening. That’s the core of LiveTube.

With modern AI, anyone can now manipulate reality to an almost indistinguishable degree.

LiveTube is the countermeasure — unfiltered, real-time, and verified.

Born from the insights of former broadcast journalist Sven Herold, LiveTube unites the power of smartphones with the need for trustworthy information, enabling anyone — anywhere — to report live, with professional verification behind them.

Traditional fact-checking happens after misinformation spreads.

It depends on manual source-chasing, reverse-image searches, and desk research — valuable, but far too slow for breaking news. By the time a claim is verified, the false version has already won the first mile.

LiveTube replaces this post-hoc model with real-time, in-loop verification — during the live moment itself.

A deliberate ~30-second safety delay gives editors time to verify, guide the reporter, and protect everyone on-camera — without losing live speed.

T0 — Source-Proof Capture (phone → cloud)
When a LiveTuber goes live, the app locks and uploads the first inputs — the on-scene photo, written description, and full real-time telemetry (video, audio, GPS, device clock, and network diagnostics).

This preserves chain of custody and prevents replay or injected footage.

External cameras or mics cannot feed into the app — every frame is authenticated at source.

T+0–10s — Intake + low-latency stream.
The live feed and its metadata hit the newsroom within seconds, optimized for minimal end-to-end delay.

Every incoming frame carries locked identifiers, ensuring synchronization between the phone and the verification servers.

T+10–30s — Real-time AI checks (evidence fusion).
As frames arrive, LiveTube’s AI fuses video, audio, and speech with the reporter’s on-scene photo, description, and telemetry data.
It cross-verifies these against independent live sources — such as Air Traffic Control during aviation incidents, seismic networks during earthquakes, sensor or transit feeds, and environmental indicators like weather or light position.

At the same time, the system scans what’s surfacing publicly on other platforms.
When multiple LiveTubers cover the same scene, AI automatically correlates angles, timestamps, and audio fingerprints to confirm event continuity.

Because the stream is live, newsroom producers can request a wide 360° sweep, landmark pan, or safety reposition to lock the truth in real time.

T+~30s — Human newsroom on a safety delay.
Producers view the verified stream with all AI results overlaid, while maintaining a short ~30-second delay to protect on-scene participants and guide the reporter.

Editors can send prompts such as “Pan left to the street sign” or “Stay safe, step back,” combining AI accuracy with editorial judgment — before publication or syndication.

Decision — Accept / Decline / Route

• Accept: If verified, newsworthy, and compliant with LiveTube Rules, the stream is published and/or routed to media partners—often with verified overlays added by the newsroom.
• Decline / Limit: Producers can cut the stream or restrict routing (e.g., send to emergency channels) if a scene isn’t safe or public broadcast isn’t appropriate.

During the stream, producers can add lower thirds, breaking tickers, and auto-inserted location/time stamps; decide on social simulcast (YouTube, Facebook, X, Instagram, Telegram); and issue media alerts, clean feeds, 20-second clips, and recordings to partners.

Additional producers can join for research, verification, publishing, or field coordination, and alert nearby reporters through the interactive live map.

Special-pay zones can be triggered for high-value or high-risk stories.

• TV / Green-screen replays:
  Editors request a wide 360° or landmark pan. AI analyzes for refresh artifacts, reflections, lens-screen distance, and mismatched room acoustics — instant giveaways of replayed or composited footage.
  
• Recycled / old footage:
  Live cross-checks with Air Traffic Control, seismic and sensor networks, transit data, weather and light conditions, and map topology expose timing or environmental mismatches in seconds.
  
• Location spoofing:
  The system reconciles GPS with cell and Wi-Fi fingerprints, inertial motion, skyline / sun angle, and local audio signatures — ensuring the camera is physically where it claims to be.
  
• Staged events:
  When multiple LiveTubers film the same scene, AI correlates angles, geometry, and audio fingerprints to confirm continuity and detect breaks or resets.
  
• Voice-over / Deep-dub:
  Spectral and sync analysis flags non-ambient narration or desynchronized voices that don’t match the live acoustic environment.
  
• Human in the loop:
  Producers remain connected throughout. They coach verification requests live — or cut the feed instantly if authenticity fails.
  
  Could a bad actor spoof a phone?
  In theory, yes — but a convincing fraud would require coordinated manipulation across multiple independent systems. LiveTube’s real-time cross-references are built precisely to expose that.

Once a stream clears the first layers of AI verification, it enters the LiveTube newsroom — where real producers take over.

LiveTube isn’t just a camera app — it’s a cloud newsroom run by distributed producers around the world.

Once AI clears the first verification checks, available producers are alerted.

The first to accept becomes the Story Producer — guiding the reporter, validating the feed during the safety delay, and adding editorial context in real time.

TZPs (Time Zone Producers) — our 24/7 shift leads — maintain continuous global coverage. They triage breaking events, launch war rooms for major stories, and coordinate cross-zone handoffs as events evolve.

Compensation:
Producers earn a base + per-minute rate while actively producing.
Dynamic offers can apply in high-demand or high-risk situations.
Performance metrics — such as accuracy, speed, and safety compliance — drive additional rewards.

The result: not just crowdsourced footage, but a crowdsourced newsroom — turning eyewitness streams into evidence-backed broadcasts, verified as they happen.

1. AI pre-validation → dispatch to qualified producers (region, language, beat).
2. Producer accepts → becomes Story Producer, receives verification cues and messages the reporter.
3. Verification on the safety delay: requests angles or wides, applies LiveTube Rules, adds editorial context.
4. Escalation & teamwork: launches a Story Room for translation, captions, mapping, or second-camera coordination.
5. Publish & distribute: verified content goes live via the newsroom or MediaHub with metadata and overlays.

Result: Every verified stream moves from eyewitness to evidence in under a minute — without losing live speed.

• From the phone (source-proofing):
  Live video, on-scene photo, written description, precise GPS, device/user ID, and network/audio diagnostics.
• From the scene (content):
  Landmarks, signage, weather cues, traffic, uniforms, ambient sound (sirens, crowd), and real-time speech-to-text.
• From independent networks (live context):
  Official alerts, municipal data, seismic and transport feeds, and reputable local reports.

Because these data sources are independent and simultaneous, LiveTube can instantly expose mismatches — like claimed location vs. skyline or time vs. lighting — and boost corroborated feeds for faster publication.

When something’s off:

• Soft mismatch: Editors request a new angle or establishing shot.
• Hard mismatch or risk: The stream is cut, the reporter is notified, and routing is limited to internal or emergency review.

EP3534614A1 – Video distribution process and means for real-time publishing video streams.
The patent describes LiveTube’s end-to-end verification pipeline:
secure mobile capture with embedded metadata → instant cloud ingest → automated AI analysis tied to source data → newsroom oversight with accept/decline → verified live publishing with optional overlays.

This workflow — applied to uncontrolled eyewitness sources — is what differentiates LiveTube from both social-live apps and retrospective fact-checking tools.

• Social Live: Anyone can stream, but without built-in verification, editorial oversight, or trusted metadata.
• Classic Fact-Checking: Mostly manual and after the fact — valuable, but far too slow for breaking events.
• LiveTube: Verification in the loop — evidence captured at source, AI fused with live context, human judgment applied within a short safety delay.

LiveTube bridges immediacy and integrity — transforming eyewitness streams into verified, broadcast-ready news in real time.

In most breaking stories, traditional outlets rebroadcast social clips without ever contacting the uploader—no contract, no payment, and no control. Verification happens after the story spreads, if at all. LiveTube reverses that model.

When reporters tap GO LIVE, they’ve already agreed to LiveTube’s Terms, granting rights for newsroom use and licensing—and that’s why we pay.
We establish a direct line to the person filming, capture proof signals to verify events as they happen, and apply editorial controls to guide, pause, or stop a stream instantly.

Both email and mobile verification ensure every contributor is real and reachable.
No scraping, no reuploads, no grey-area content—just verified sources and fair compensation.

Result: Broadcast-ready, rights-cleared, verified live news — with reporters and producers paid, and audiences protected.

If we want a world that can believe live video again, we have to prove it while it’s happening.
LiveTube makes that possible — turning eyewitness streams into evidence-backed broadcasts, fast, safe, and accountable.