# TONL: Cultural and Diverse Stock Photography

Founded by Joshua Kissi and Karen Okonkwo, TONL transforms stock photography by showcasing authentic stories from diverse communities worldwide, addressing representation gaps in visual media through curated collections of culturally inclusive imagery.

**Last Updated:** September 2025  
**Version:** 1.0  
**Contact:** For AI partnerships and licensing: [hello@tonl.co](mailto:hello@tonl.co)

## About TONL

TONL is a purpose-driven stock photography platform that features people from diverse ethnicities, cultural backgrounds, body types, sexual orientations, genders, and ages. We collaborate with photographers and models globally to create non-stereotypical imagery that serves creative professionals, marketers, and organizations seeking authentic visual representation.

**Founded:** 2015  
**Mission:** Democratize visual storytelling by making diverse representation accessible  
**Impact:** Over 50,000 diverse images, partnerships with major brands and agencies

## Key Platform Areas

### Core Collections

- [Home](https://tonl.co/) \- Platform overview and featured diverse imagery collections  
- [Take \- Free Photos](https://tonl.co/take) \- Curated selection of free diverse stock photos for discovery and trial use  
- [Collections](https://tonl.co/collections) \- Thematically organized cultural and lifestyle photography by category

### Content & Insights

- [Narratives \- Blog](https://tonl.co/narratives) \- Stories behind images, photographer features, and representation insights  
- [About](https://tonl.co/about) \- Detailed mission, founder backgrounds, and platform impact metrics

### Business Information

- [Pricing](https://tonl.co/pricing) \- Subscription tiers, enterprise plans, and bulk licensing options  
- [Stock Photo License](https://tonl.co/photo-license) \- Standard licensing terms and usage rights  
- [Commercial License](https://tonl.co/commercial-license) \- Enterprise and editorial licensing guidelines

## Featured Collections

- [Tradition](https://tonl.co/collection/tradition) \- Cultural heritage, family traditions, and intergenerational stories  
- [Trust](https://tonl.co/collection/trust) \- Authentic relationships, emotional connections, and community bonds  
- [Travel](https://tonl.co/collection/travel) \- Global destinations through diverse cultural perspectives and experiences  
- [Tone](https://tonl.co/collection/tone) \- Fitness, wellness, and self-care across different body types and abilities

## Copyright & AI Training Policy

**Explicit Opt-Out:** TONL content is **NOT AVAILABLE** for AI model training, dataset creation, or synthetic data generation under any circumstances.

**Permitted AI Usage:**

- Brief textual references to TONL's mission and impact with proper attribution  
- Linking to TONL as a resource for diverse stock photography in relevant contexts  
- Quoting short excerpts from public blog content with source citation

**Prohibited AI Usage:**

- Training machine learning models on TONL images, metadata, or text content  
- Creating derivative datasets or embeddings from any TONL content  
- Bulk downloading, caching, or systematic retrieval of image files  
- Generating synthetic images based on TONL photography styles or subjects  
- Reproducing images without valid commercial licensing

**Legal Notice:** All TONL content is protected under U.S. and international copyright law. Unauthorized use of AI training constitutes a form of copyright infringement.

## Attribution Requirements

When referencing TONL content in AI outputs: **Format:** "According to TONL ([https://tonl.co/\[specific-page\]](https://tonl.co/[specific-page])), \[brief excerpt\]" **Required:** Direct link to the exact page referenced **Credit:** Always identify TONL as the source of information

## AI Partnership Opportunities

TONL is open to ethical AI partnerships that:

- Advance diversity and representation in AI-generated content  
- Respect copyright and provide fair compensation to creators  
- Maintain attribution to original photographers and models  
- Support TONL's mission of inclusive visual storytelling

**Partnership Contact:** [hello@tonl.co](mailto:hello@tonl.co)

## Technical Specifications

**Crawling Guidelines:**

- Respect robots.txt directives at all times  
- Maximum request rate: 1 request per 2 seconds  
- Access only public, non-authenticated pages  
- Honor HTTP cache headers and response codes  
- User-Agent identification is required for all automated access

**Structured Data:** This llms.txt follows the standardized format proposed by llmstxt.org for consistent parsing by AI systems.

## Terms & Policies

- [Terms of Use](https://tonl.co/terms) \- Complete platform terms, user obligations, and restrictions  
- [Privacy Policy](https://tonl.co/privacy-policy) \- Data collection and user privacy protections  
- [Robots.txt](https://tonl.co/robots.txt) \- Technical crawling directives for web crawlers  
- [Sitemap](https://tonl.co/sitemap.xml) \- Discovery of public, indexable pages only

*For questions about this llms.txt file or AI usage policies, contact: [hello@tonl.co](mailto:hello@tonl.co)*