Aiarty vs dig

What is Aiarty?

Aiarty is an AI Image tool that serves as an AI-powered image and video enhancer, as well as image matting software. Its main job is to upscale and enhance images and videos or remove backgrounds.

Who is Aiarty for?

Aiarty is designed for photographers, content creators, and e-commerce businesses. It is particularly useful for those needing to enhance video quality, improve image details, or replace backgrounds in product images.

What can I do with Aiarty?

With Aiarty, you can enhance video quality through denoising and upscaling, improve image quality by restoring details and reducing noise, and perform image matting for background removal. It also allows for enhancing skin and hair details in portraits.

How much does Aiarty cost?

Aiarty publishes a custom / contact-sales pricing model — get a quote on their site.

How is Aiarty different from alternatives?

Aiarty differentiates itself by focusing on AI-powered enhancements for both images and videos, providing features like frame interpolation and detailed restoration that cater to both professional and creative needs.

What does dig actually analyze that other tools don’t?

In one word: video. Traditional social listening tools analyze text around the video: descriptions, captions, comments, hashtags. dig analyzes what’s inside the video: visuals, speech, tone, scenes, objects, emotions, and narrative structure. With dig, you can tell whether something is sarcasm or praise, whether the product is actually shown on screen or merely mentioned in text, and whether sentiment is positive or negative inside the video itself.

How accurate is dig’s video analysis?

dig’s in-video analysis runs at 95% accuracy across speech, visuals, emotion, and narrative classification. That accuracy is measured against labeled datasets and continuously improved with human-in-the-loop evaluation. Every insight is traceable to the original video, so teams can verify exactly what the digger (the dig engine) detected.

How much of social video does dig actually cover?

dig analyzes 90%+ of social video across major platforms, including TikTok, YouTube, Instagram, Reddit, X, and Facebook. This is not sampling. It’s continuous, large-scale in-depth analysis of billions of posts in real time.

How is this different from just asking ChatGPT, Gemini or Claude?

LLMs summarize language, but they can’t do the same for video content. They don’t see visuals and can’t catch gestures, edits, or on-screen context They also can’t interpret irony, reaction formats, or visual storytelling - and they sometimes hallucinate patterns without access to underlying video data. dig is not a text model guessing about video. It analyzes the video itself and produces insights grounded in actual footage: clickable, reviewable, and defensible - so you can make high-stakes decisions.

How fast can we get value from dig?

The short answer is MINUTES. Once you start, you can search in natural language, explore live narratives and run deep research flows in the dig chatbot and get your answers in minutes. Most teams are up and running in under three (3) hours. No Boolean query setup, no taxonomy building and no manual tagging needed.