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VISION AI & COMPUTER USE

AI that sees the interface and acts like a human

Profile screenshot → OCR → entities → scoring. The Vision module reads bio, followers, CTAs and prices on images, while Computer Use handles browser routines where platforms offer no API.

94%
Vision scoring precision for niche and ICP from a screenshot
≤ 4 s
full screenshot breakdown: OCR, entities, scoring
0
automation detections: human curves and limits
INTERACTIVE DEMO

OCR simulator: how Vision reads a profile

Hit “Scan” — the engine will find 4 zones on the screenshot (bio, followers, CTA, price on the infographic) and turn them into structured lead fields.

The demo runs locally in your browser; screenshots are never uploaded.

Extracted lead fieldsICP 88% · hot
  • Niche: B2B SaaS, HR-tech — confidence 0.94
  • Audience: 48.2k followers, 3.1% ER, stories active
  • CTA: “Book a demo” → cal.com link in header
  • Offer: audit from $490, slot “this week”
48,2k
bio & niche
followers · 48.2k
CTA “Book a demo”
price on infographic

Vision pipeline: from pixels to pipeline

Every screenshot passes 4 stages in seconds — no humans involved, under your control in Telegram.

01 · Screenshot

Profile, post grid, stories, Reels or a competitor price list. Source: a Computer Use session or Telegram upload.

02 · OCR + layout

Text recognition on images: bio, banners, subtitles, prices. Every fragment mapped to screen coordinates and zones.

03 · Entities

Niche, offer, contacts, CTA links, content tone. Lead magnets and bio links extracted separately.

04 · Scoring

ICP score 0–100: brand premium-ness, activity, post freshness. Hot leads go to DM, the rest enter warm-up.

stories · reels · grid
frame-by-frame
24 fps → OCR
  • story_04.mp4 — speech: «…audit from $490…» · sticker: poll 78%
  • reel_11.mp4 — 00:03 banner «Book a demo» · logo rival: none
  • grid — 12 posts / 30d · offer repeats: audit ×5, case ×3
VVision LLM · multimodal
MODULE V-01

Stories, posts and Reels: content missing from the API

The official API returns no visual context. Vision watches stories frame by frame, reads Reels subtitles and scores brand visual style.

  • Stories: speech transcription + OCR of stickers, polls and “tap here” links
  • Reels: storyboard every 3 seconds, topics, faces, competitor logos
  • Post grid: frequency, design, recurring offers and columns
MODULE V-02

OCR of competitor infographics and price lists

Prices on images, pricing grids, “before/after” carousels — Vision extracts numbers missing from post text and tracks changes.

  • Price parsing: plans, discounts, promo deadlines from banners
  • Change diffs: Telegram alert when a competitor shifts prices or offers
  • Contacts from images: phones, messengers, promo codes in the header
Audit — $490
banner_03.png · conf 0.98
−10% vs last week
Retainer — $1 900/mo
carousel_07.png · conf 0.96
no change
rival_pricing.diff
alert → Telegram
diff
Computer Use · session #4821HUMAN-LIKE
[01:02] Opened profile @target_lead — reading bio 2.4s
[02:03] Grid scroll, liked post #3 (relevance 0.87)
[03:04] Followed bio link → lead-magnet form submitted
[04:05] Result screenshot saved to the log
✓ session closed cleanly
MODULE V-03

Computer Use: acting where there is no API

A Playwright agent with human motion curves: smooth scrolling, natural pauses, Bezier-curve cursor. Feed likes, story views, web-form filling and site data collection.

  • Human emulation: Bezier curves, jitter, read-time delays
  • Sandboxed: every session in an isolated container with proxy
  • Full action log with a screenshot of every step

Safety and human-grade limits

Vision Automation complements the official API rather than replacing it: actions are capped to live-user limits, and every session passes a policy gate before it starts.

Likes
≤ 80 / day · within limit
Story views
≤ 40 / day · within limit
CAPTCHA / phone-verify
Auto-stop · CAPTCHA / phone-verify

Cases with numbers

Where Vision pays back fastest: competitor monitoring, price lists and warm-up before first touch.

Competitor monitoring from screenshots

Daily snapshots of 30 competitor profiles: bio, grid and offer diffs with Telegram alerts.

−6h of manual checks weekly

Price parsing from infographics

Competitor plans and promos missing from post text, collected into a change table.

120+ price lists in a month

Lead scoring before the first email

Vision rejects farm accounts visually: no brand face, empty grid, inflated followers.

−40% junk in base · 2× replies

ICP-list story warm-up

Viewing target leads’ stories in a natural pattern before the first DM touch.

+31% first-message opens

Lead-magnet web forms

Auto-filled site forms with a photo log of every step and CRM result logging.

≤ 12 forms/day per session

Niche visual-style audit

Batch analysis of 500 niche profiles: which offers and visuals actually earn reach.

500 profiles overnight

Vision vs alternatives

An honest comparison: manual work, bare API and Vision Automation.

CapabilityManualAPI onlyBoostly Vision
Text on banners and infographicsYes, slowlyNoYes, OCR in seconds
Stories and Reels subtitlesYes, for hoursPartiallyYes, frame-by-frame + transcript
Competitor prices from imagesManual copy-pasteNoYes, with change diffs
Actions without API (stories, forms)Yes, grindNoYes, Computer Use
Speed per 100 profiles2–3 daysMinutes, but no visuals~25 min with visuals
“Vision scoring rejected 40% of our list before the first email — visually they were clearly farm accounts. Domain reputation saved, replies doubled.”
Svetlana RoHead of Outbound, Karta Systems

Give AI eyes — and hands

Connect Vision Automation to your accounts: 3 days of full access free, no card required.

Vision Automation3-minute setup • No card required

Frequently asked questions

The engine is capped at live-user limits and emulates human behavior: Bezier curves, natural pauses, daily ceilings. On CAPTCHA or phone-verify the session stops and escalates to you.

APIs return no visual context: banner text, brand style, stories, profile-header data. Vision closes that gap for scoring and personalization.

Bio and niche, follower count, CTA buttons and links, prices and offers on infographics, contacts and promo codes. Every fragment is mapped to a screen zone with recognition confidence.

Stories are parsed frame by frame: speech is transcribed, stickers, polls and links recognized via OCR. Reels are storyboarded every 3 seconds with topics, faces and logos captured.

Yes: daily snapshots of competitor profiles, diffs of bio, grid and prices. When a competitor changes an offer or price, you get a “before → after” Telegram alert.

Patched Playwright in isolated containers: each session gets a dedicated browser fingerprint, residential proxy and a screenshot log of every step.