Free Plan Details
The Alactic AGI Free Plan provides an affordable entry point for individuals, small businesses, and development teams to explore document intelligence and AI-powered content extraction. This guide covers all technical specifications, limitations, and use cases.
Plan Overview
Target Users:
- Individual developers and researchers
- Small businesses processing <50 documents/month
- Development and testing environments
- Proof-of-concept projects
- Students and academic researchers
- Startups validating product ideas
Not Suitable For:
- Production workloads at scale
- Batch processing >50 documents/month
- Applications requiring GPT-4o model
- Teams needing advanced features
Technical Specifications
Compute Resources
Virtual Machine:
- SKU: Standard_B2s (Azure B-series Burstable)
- vCPUs: 2
- RAM: 4 GB
- Disk: 30 GB SSD (Standard LRS)
- Network: Basic tier (no accelerated networking)
Performance Characteristics:
- Baseline CPU: 40% of vCPU
- Burst Capacity: 200% of vCPU (accumulates credits during idle periods)
- Best For: Intermittent workloads with idle time
- Not For: Sustained high-CPU processing
What this means:
- Good performance for occasional document processing (few times per day)
- May slow down during continuous processing (50+ documents in a row)
- CPU credits replenish during idle periods
- Perfect for development/testing (not 24/7 production)
Storage Limits
Document Storage:
- Capacity: 100 MB total
- File Size Limit: 50 MB per PDF
- Retention: Unlimited (until manually deleted)
Cosmos DB (Database):
- Tier: Serverless
- Request Units: Up to 5,000 RU/s burst
- Storage: 50 GB max (typical usage: <1 GB)
- Best For: Infrequent access patterns
Estimated Capacity:
- ~50 average PDFs (2 MB each)
- ~100 small PDFs (1 MB each)
- ~20 large PDFs (5 MB each)
Processing Limits
Monthly Quotas:
- PDFs: 20 documents per month
- URLs: 50 websites per month
- Total Processing: 70 documents/month combined
Rate Limits:
- Concurrent Jobs: 2 at once
- Queue Size: 50 jobs max
- Batch Size: 10 PDFs or 25 URLs per batch
Processing Speed: With Standard_B2s VM, expect these times:
| Document Type | Processing Time | Notes |
|---|---|---|
| Single-page PDF | 15-25 seconds | Text extraction + summarization |
| 10-page PDF | 45-90 seconds | Per document |
| 50-page PDF | 3-5 minutes | May hit CPU limits |
| URL (article) | 10-20 seconds | Fast websites |
| URL (complex) | 30-60 seconds | Heavy JavaScript sites |
Faster on: Documents processed during low-activity periods (VM has CPU burst credits)
Slower on: Back-to-back processing of many documents (CPU credits depleted)
AI Model Access
Available Models: Alactic GPT-4o mini: Full access Alactic GPT-4o: Not available (upgrade to Pro for access)
Alactic GPT-4o mini specs:
- Context Window: 128,000 tokens (~96,000 words)
- Max Output: 16,384 tokens
- Input Cost: $0.150 per 1M tokens
- Output Cost: $0.600 per 1M tokens
- Quality: Excellent for straightforward extraction and analysis
- Training: 1 billion+ tokens specialized for documents
Model Limitations on Free Plan:
- Cannot switch to GPT-4o
- Cannot use other models (Gemini, Claude, etc.)
- GPT-4o mini is the only option
API Access
Full API access included:
- RESTful API for automation
- Same authentication as dashboard (deployment key)
- All endpoints available (process, retrieve, search)
- No API call limits beyond monthly quotas
API Rate Limits:
- 10 requests per second
- 1,000 requests per hour
- Sufficient for most automation scripts
Example API usage:
# Process document via API
curl -X POST https://<your-vm-ip>/api/v1/process \
-H "X-Deployment-Key: ak-xxxxx" \
-F "file=@document.pdf" \
-F "model=gpt-4o-mini" \
-F "analysis_depth=standard"
Cost Breakdown
Infrastructure Costs (Fixed)
Monthly baseline: $72.00
| Resource | SKU/Type | Cost/Month | Cost/Day |
|---|---|---|---|
| Virtual Machine | Standard_B2s | $51.00 | $1.70 |
| VM Disk | 30GB Standard SSD | $4.80 | $0.16 |
| Cosmos DB | Serverless | $8.00 | $0.27 |
| Storage Account | Standard LRS | $5.00 | $0.17 |
| Networking | Basic | $3.20 | $0.11 |
| Total Infrastructure | $72.00 | $2.40 |
These costs are constant regardless of usage (even if you process zero documents).
Variable Costs (Token Usage)
Model costs added per document processed:
Example: 10-page research paper
- Input tokens: ~8,000 (document text)
- Output tokens: ~500 (summary + analysis)
- Total tokens: 8,500
Cost calculation (GPT-4o mini):
Input: 8,000 × $0.150 / 1,000,000 = $0.0012
Output: 500 × $0.600 / 1,000,000 = $0.0003
Total: $0.0015 per document
Monthly cost scenarios:
| Usage Level | Documents | Avg Tokens | Model Cost | Total Cost/Mo |
|---|---|---|---|---|
| Minimal | 5 docs | 40k tokens | $0.01 | $72.01 |
| Light | 10 docs | 80k tokens | $0.02 | $72.02 |
| Moderate | 20 docs | 160k tokens | $0.03 | $72.03 |
| At Quota | 20 PDFs + 50 URLs | 500k tokens | $0.10 | $72.10 |
Key Insight: Model costs are negligible compared to infrastructure costs at Free Plan scale.
Total Cost of Ownership
First Month:
- Deployment: $0 (no setup fees)
- Infrastructure: $72
- Token usage: ~$0.10 (assuming full quota used)
- Total: $72.10
Ongoing Monthly:
- $72.10 if using full quota
- $72.00 if processing zero documents (still pay for infrastructure)
Annual Cost:
- $72 × 12 = $864 per year
- Plus minimal token costs
Cost per Document:
- Infrastructure: $72 / 70 docs = $1.03 per document
- Tokens: $0.0015 per document
- Total: ~$1.03 per document
Comparison to alternatives:
- AWS Textract: $1.50 per 1,000 pages (~$0.015/page)
- Google Document AI: $1.50 per 1,000 pages
- Azure Form Recognizer: $1.50 per 1,000 pages
- Alactic Free Plan: $1.03 per document (all-inclusive)
Feature Availability
Included Features
- PDF upload and processing
- URL scraping and extraction
- Text extraction from documents
- AI-powered summarization
- Key information extraction
- Batch processing (up to 10 PDFs at once)
- Vector storage for semantic search
- Full API access
- Dashboard web interface
- JSON, Markdown, and Plain Text output formats
- Standard and Deep analysis modes
- Email notifications
- Usage statistics tracking
- Deployment key authentication
- Community support (GitHub, forums)
Not Included
- GPT-4o model access (Pro plan required)
- Custom domain names
- IP whitelisting (Pro+ required)
- Webhook notifications (Enterprise)
- Multi-region deployment (Enterprise)
- SLA guarantees (Enterprise)
- Priority support (Enterprise)
- Custom model fine-tuning (Enterprise)
- Scheduled batch processing (Enterprise)
- Advanced monitoring (Enterprise)
Use Cases
Good Fit for Free Plan
1. Individual Research Projects
- Academic research: Analyze 10-20 papers per month
- Market research: Scrape competitor websites
- Personal knowledge management: Extract key points from articles
Example: PhD student analyzing 20 research papers monthly to build literature review. Uses Free Plan to extract summaries, key findings, and citations from each paper.
2. Small Business Document Processing
- Invoice processing: 20 invoices/month
- Receipt management
- Contract review (low volume)
- Email attachment processing
Example: Freelance consultant processing client invoices. Uploads 5-10 invoices per week, extracts payment details, due dates, and amounts automatically.
3. Development and Testing
- Building document processing features
- Proof-of-concept for SaaS applications
- Testing before production deployment
- Evaluating Alactic for future use
Example: Startup validating product idea: legal document analysis tool. Uses Free Plan to test extraction quality, response times, and API integration patterns before committing to production deployment.
4. Content Curation
- Blog post research: Scrape 50 articles/month
- Newsletter creation: Extract key points from news sources
- Social media content: Analyze trending topics
Example: Newsletter creator scraping 50 tech news articles monthly, extracting summaries and key quotes, then compiling into weekly newsletter.
5. Educational Projects
- Student assignments analyzing documents
- Teaching AI/ML concepts
- Classroom demonstrations
- Learning document processing
Not Suitable for Free Plan
1. Production Applications
- Can't handle user volume
- No SLA guarantees
- Limited processing capacity
- Infrastructure not scalable
Better fit: Pro or Pro+ plan
2. High-Volume Processing
- >70 documents per month
- Continuous batch processing
- Real-time processing requirements
Better fit: Pro+ or Enterprise
3. Complex Analysis Requirements
- Need GPT-4o for advanced reasoning
- Multi-step analysis workflows
- Custom model fine-tuning
Better fit: Pro (GPT-4o) or Enterprise (fine-tuning)
4. Mission-Critical Workloads
- Require 99.9% uptime SLA
- Need priority support
- Cannot tolerate downtime
Better fit: Enterprise plan
Quota Management
Monitoring Usage
Check current usage:
- Login to dashboard
- Go to Settings → Usage Statistics
- View:
- PDFs processed this month: X / 20
- URLs scraped this month: Y / 50
- Storage used: Z MB / 100 MB
Email alerts: Enable notifications when reaching quota:
- Settings → Notifications
- ☑ Alert at 75% quota (15 PDFs or 37 URLs)
- ☑ Alert at 90% quota (18 PDFs or 45 URLs)
- ☑ Alert at 100% quota
What Happens When Quota Exceeded
If you try to process 21st PDF:
- Error message: "Monthly PDF quota exceeded (20/20 used)"
- Document not processed
- No charges incurred
- Must wait until next month or upgrade plan
If you exceed storage (100 MB):
- Error message: "Storage quota exceeded"
- Cannot upload new documents until you delete old ones
- Can still process URLs (no storage impact)
Workaround strategies:
-
Delete processed documents to free storage:
- Download results first
- Delete from dashboard
- Storage freed immediately
-
Prioritize URLs over PDFs:
- URLs don't count against storage
- 50 URL quota vs 20 PDF quota
- Use URLs when possible
-
Schedule processing across months:
- Quota resets on calendar month (1st of month)
- Process 20 PDFs end of month, 20 more beginning of next month
- Effective 40 PDFs in 2-day span
-
Upgrade to Pro or Pro+ plan:
- Pro: 100 PDFs + 200 URLs per month
- Pro+: 500 PDFs + 1,000 URLs per month
Performance Optimization
Maximize Processing Speed
1. Process During Low-Activity Periods
- VM accumulates CPU burst credits during idle time
- Process in morning (more credits available)
- Avoid back-to-back processing of 20+ documents
2. Use Quick Extract When Possible
- 3x faster than Standard Analysis
- Sufficient if you only need text, not insights
- Saves tokens (lower cost)
3. Batch Small Documents
- Batch processing shares overhead
- 10 × 1-page PDFs faster as batch than individually
- Use Batch Processing tab
4. Optimize Document Sizes
- Compress large PDFs before upload
- Remove unnecessary pages
- Extract text locally for very large documents (100+ pages)
Reduce Costs
1. Use Standard Analysis by Default
- Deep Analysis uses 2-3x more tokens
- Reserve for complex documents only
2. Enable Vector Storage Selectively
- Only enable if you'll search these documents later
- Adds processing time and storage
- Disable for one-off extractions
3. Minimize Output Formats
- JSON only (don't generate Markdown + Text + JSON)
- Download results once
- Clean up old results
Upgrading from Free Plan
When to Upgrade
Upgrade to Pro when:
- Processing >20 PDFs per month consistently
- Need GPT-4o for better analysis quality
- Require faster processing (more vCPUs)
- Storage quota insufficient (>100 MB)
- Building production application (need reliability)
Upgrade to Pro+ when:
- Processing >100 documents per month
- Need IP whitelisting for security
- Require significant storage (>5 GB)
- Production workload with moderate scale
Upgrade to Enterprise when:
- Mission-critical workload requiring SLA
- Need priority support
- Custom requirements (fine-tuning, multi-region, etc.)
- Compliance requirements (SOC 2, HIPAA, etc.)
How to Upgrade
Important: Cannot upgrade in-place. Must redeploy.
Upgrade steps:
-
Backup current data:
# Export all document results
# Download from dashboard: Bulk Download All
# Or via API
curl -H "X-Deployment-Key: ak-xxxxx" \
https://<vm-ip>/api/v1/export/all > backup.zip -
Document configuration:
- Deployment key (save securely)
- API integrations (will need updating)
- Usage patterns (for sizing new plan)
-
Delete Free Plan deployment:
- Azure Portal → Resource Groups
- Delete entire resource group
- Or keep resource group and delete resources individually
-
Deploy new plan from marketplace:
- Follow Marketplace Deployment
- Select Pro, Pro+, or Enterprise plan
- Use same region if possible
- New deployment key will be generated
-
Restore data and update integrations:
- Upload backed-up results (if needed)
- Update API integrations with new key
- Update team with new dashboard URL
Downtime: Plan for 30-60 minutes
Cost impact: Pro plan costs $147/month (+$75/month vs Free)
Comparison: Free vs Paid Plans
| Feature | Free | Pro | Pro+ | Enterprise |
|---|---|---|---|---|
| Price/Month | $72 | $147 | $295 | $1,500+ |
| PDFs/Month | 20 | 100 | 500 | Unlimited |
| URLs/Month | 50 | 200 | 1,000 | Unlimited |
| Storage | 100 MB | 5 GB | 20 GB | Custom |
| VM vCPUs | 2 (burst) | 2 | 4 | 8+ |
| VM RAM | 4 GB | 8 GB | 16 GB | 32+ GB |
| GPT-4o Access | X | Y | Y | Y |
| GPT-4o mini | Y | Y | Y | Y |
| API Access | Y | Y | Y | Y |
| IP Whitelisting | X | X | Y | Y |
| SLA | X | X | X | 99.9% |
| Support | Community | 24/7 Priority |
Value proposition:
- Free: Best $/document for low volume (`<70/month)
- Pro: Best for individuals needing GPT-4o or moderate volume
- Pro+: Best for small teams and production workloads
- Enterprise: Best for mission-critical applications
Frequently Asked Questions
Q: Can I process 20 PDFs + 50 URLs in the same month?
A: Yes! Quotas are separate. You can process up to 70 documents total (20 PDFs + 50 URLs).
Q: What happens to my data when quota is exceeded?
A: Nothing. Previously processed documents remain accessible. You just can't process new ones until next month or upgrade.
Q: Can I share my deployment with team members?
A: Yes, but all usage counts against single quota. Everyone processes from same pool of 20 PDFs and 50 URLs.
Q: Does quota reset on specific date?
A: Yes, quotas reset on the 1st of each month at 00:00 UTC.
Q: Can I pay for additional quota without upgrading?
A: No. Quotas are fixed per plan. To increase quota, upgrade to Pro or Pro+ plan.
Q: Is Free Plan suitable for production?
A: No. Free Plan is for development, testing, and low-volume personal use only. Use Pro+ or Enterprise for production.
Q: How long can I use Free Plan?
A: Indefinitely. No time limit. Pay $72/month as long as you want.
Q: Can I downgrade from paid plan to Free Plan?
A: Yes, but requires redeployment (same as upgrading). Delete paid deployment and redeploy Free Plan.