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.
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.
- 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”
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.
- 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
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
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
[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
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.
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.
Price parsing from infographics
Competitor plans and promos missing from post text, collected into a change table.
Lead scoring before the first email
Vision rejects farm accounts visually: no brand face, empty grid, inflated followers.
ICP-list story warm-up
Viewing target leads’ stories in a natural pattern before the first DM touch.
Lead-magnet web forms
Auto-filled site forms with a photo log of every step and CRM result logging.
Niche visual-style audit
Batch analysis of 500 niche profiles: which offers and visuals actually earn reach.
Vision vs alternatives
An honest comparison: manual work, bare API and Vision Automation.
| Capability | Manual | API only | Boostly Vision |
|---|---|---|---|
| Text on banners and infographics | Yes, slowly | No | Yes, OCR in seconds |
| Stories and Reels subtitles | Yes, for hours | Partially | Yes, frame-by-frame + transcript |
| Competitor prices from images | Manual copy-paste | No | Yes, with change diffs |
| Actions without API (stories, forms) | Yes, grind | No | Yes, Computer Use |
| Speed per 100 profiles | 2–3 days | Minutes, 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.”
Give AI eyes — and hands
Connect Vision Automation to your accounts: 3 days of full access free, 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.