AI-powered photo analysis that catches manufacturing defects before they ship.
Freelancers in custom manufacturing suffer constant quality control defects that ruin client projects and lead to financial losses.
Freelancers upload project photos or videos to DefectScan, where AI instantly detects common defects like cracks, misalignments, or material flaws. It generates detailed reports with confidence scores and suggested fixes, preventing costly rework. Clients receive shareable quality certifications to build trust and avoid disputes.
Freelancers in custom manufacturing handling client orders
Tailored AI models trained specifically on custom manufacturing defects, with 95% accuracy for niche materials like 3D prints and CNC parts.
professional
Secure upload of images/videos from projects with drag-and-drop interface.
Real-time AI analysis flagging defects with bounding boxes and severity levels.
Automated PDF reports with images, scores, and remediation advice.
Central hub to track all inspections, history, and status.
Generate secure links for clients to view reports without login.
Customizable database of common defects for your niche.
Upload multiple files at once for high-volume checks.
Native mobile support for on-site inspections.
Pull specs from CAD files for contextual analysis.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| niche | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| file_url | text | No |
| defects | text | Yes |
| confidence_score | float | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| inspection_id | uuid | No |
| token | text | No |
| views | int | No |
Relationships:
/api/projectsCreate new project
/api/inspectionsUpload and analyze media
/api/inspections/:id/reportDownload report PDF
/api/sharesGenerate share link
/api/shares/:tokenView shared report (public)
/api/dashboardFetch user projects and stats
Watermarked reports
No batch processing
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 100 | 4% | $88 | $1,056 |
| Month 6 | 600 | 8% | $1,056 | $12,672 |
AI scans your photos in seconds, flags issues, and generates client-ready reports—saving time and money.
Post in Reddit r/freelance, r/manufacturing, and LinkedIn groups for custom manufacturing freelancers offering free beta access in exchange for feedback. DM 20 targeted freelancers from Upwork profiles specializing in custom parts. Run $50 Facebook ad to 'manufacturing freelancer' audience with demo video.
Enterprise-grade hardware integration
Overkill for freelancers, no AI
Affordable AI-first for solo ops
Checklist focus
Manual only, no visuals
Automated visual AI
Proprietary dataset of manufacturing defects from user uploads, improving AI accuracy over time.
Explosion of freelance manufacturing on platforms like Upwork, combined with accessible AI vision models like those from Hugging Face.
AI accuracy varies by lighting/material
User feedback loop to retrain models
Freelancers stick to manual checks
Free tier demos
Media storage costs spike
Tiered limits and compression
Success: 80% confirm defect photos are issue
Success: 3/5 convert to paid
Success: 100 users week 1
Success: 20% MoM growth
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