LeadLens vs Mela

LeadLens captures trade show leads by scanning printed or handwritten badges and enriching the contact details. Its OCR reads names, titles, and companies and assigns confidence scores to individual fields. The service can derive email addresses from company conventions, find LinkedIn profiles, and check email domains against MX records. Leads can also come from imported email signatures or CSV files, and exports include CSV, XLSX, and vCard. Scans captured offline wait on the device and sync when connectivity returns. LeadLens works in a phone browser and as an installable PWA; paid plans also list a native iOS app. The free plan provides 25 lifetime scans, one show workspace, and basic enrichment. Paid plans start at $29/mo, with options for solo reps, event marketers, and teams sharing booth capture. The maker says it does not sell scan data and removes badge images after extraction. It says its SOC 2 audit is not complete, and account deletion requests result in data removal within seven days.

Mela is an iPhone app for B2B consumer electronics resellers who capture leads at trade shows and follow up afterward. It reads both sides of business cards, decodes QR codes, and turns the details into an editable contact form. Contacts can be grouped by event, searched or filtered by consumer electronics categories, and kept in one history across shows. Mela transcribes voice notes and suggests hashtags. It drafts personalized WhatsApp and email follow-ups for the user to review and send; it does not send messages automatically. Other listed features include QR card exchange between Mela users, inventory matching, lead temperature tracking, and contact deduplication. The free plan is free, with core features within unspecified limits. Mela Individual costs $9.99 a month; team plans range from $24.99 a month for 2 seats to $44.99 a month for 6 seats. The app requires iOS 15.1 or later. Users must be at least 16 and use it for business purposes. Captured content belongs to the user and is not used to train AI models, though service providers may process it when a feature is invoked.