Tensoraws Engine V4.0 Live

Video Compression
Reimagined by AI

Deliver 4K quality at 1080p bitrates. Our neural networks upscale resolution and interpolate frames in real-time, saving you 60% on bandwidth costs.

Max Resolution

60%

Bandwidth Saved

120fps

Interpolation

15ms

Latency

1080p Source

4K Upscale

Drag slider to compare

Super-Resolution

Crystal clear quality from any source.

Our proprietary Tensor-SR™ model analyzes every frame to reconstruct lost details. Turn legacy SD content into HD, or stream HD content as if it were native 4K, all while reducing bitrate requirements.

Real-time Upscaling

Process live streams with under 20ms latency.
Artifact Removal

Automatically detects and cleans compression artifacts.
Content Aware

Optimizes differently for sports, anime, or cinema.

Powered by Deep Learning

We don't just encode pixels; we understand them. Our stack is built on state-of-the-art Vision Transformers.

Frame Interpolation

Convert 24fps content to 60fps seamlessly. Our AI predicts intermediate motion vectors to create fluid playback for sports and gaming.

Perceptual Compression

Encode based on human visual perception. We allocate bits where the eye focuses, reducing file sizes by up to 40% without visible loss.

Edge Optimized

Models quantized for edge deployment. Run our encoding engine on standard mobile chips or lightweight CDN edge nodes.

Developer First API

Integrate Tensoraws into your existing FFmpeg pipeline with just a few lines of code. SDKs available for Python, Node.js, and Go.

Get your API Key

Install the SDK

Start Encoding

main.py

import tensoraws

# Initialize the client
client = tensoraws.Client(api_key="tx_live_...")

# Process video stream
job = client.encode(
    input="s3://bucket/raw_video.mp4",
    options={
        "super_res": True,
        "upscale": "4k",
        "frame_interpolation": "60fps"
    }
)

print(f"Job started: {job.id}")

Video Compression Reimagined by AI