# ExportTok vs Hugging Face

ExportTok records 2,782,229 monthly visits with +9.2% month-over-month growth and Freemium pricing. Hugging Face records 31,232,542 monthly visits with +0.1% growth and Freemium, Paid pricing.

| Metric | [ExportTok](https://openaitools.app/tool/exporttok) | [Hugging Face](https://openaitools.app/tool/hugging-face) |
| :--- | :--- | :--- |
| Website URL | https://exporttok.com | https://huggingface.co |
| Categories | Other | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Freemium | Freemium, Paid |
| Monthly Visits | 2,782,229 | 31,232,542 |
| MoM Growth Rate | +9.2% | +0.1% |
| Primary Market | United States | United States |
| Direct Visits | 1,199,074 | 13,401,480 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 1 | 11 |
| Supported Platforms | Website | Website |

## ExportTok

ExportTok solves a very specific headache: TikTok gives creators, marketers and researchers no native way to get comment data out of the app in bulk. Screenshotting or copy-pasting hundreds of comments is slow, error-prone and impossible to analyse at scale. ExportTok takes a public video URL and returns the full comment set as a CSV or XLSX file you can sort, filter and chart in Excel, Google Sheets or a BI tool.

The workflow is deliberately minimal. You copy a video link from the TikTok app or web player, paste it into the search box on the landing page, and press export. Before downloading you can cap the number of comments, pick CSV or Excel, and switch replies on or off so long threads come through complete rather than truncated. Batch handling lets you work through a list of videos in one sitting, which matters when you are auditing a whole campaign rather than a single post.

Every exported row carries the fields analysts actually need: comment text, comment ID, user ID, username and nickname, timestamp, like count, reply count, pinned status and profile links. Because no TikTok account is connected, there is no login risk and no chance of your own account being flagged. ExportTok uses a credit system, starting with 2,000 free comments and scaling up to millions per month on the paid tiers.

**Pricing & Plans:** Freemium with a credit model. The free plan covers 2,000 comments. Paid tiers are Essential at $9.99/month (500,000 credits), Growth at $14.99/month (1,000,000 credits) and Pro at $19.99/month (3,000,000 credits), all with yearly discounts of roughly 50%.

- **One-click URL export:** Paste any public TikTok video URL and download its comment thread without installing anything or writing code.
- **CSV and Excel output:** Choose CSV for pipelines and scripts or XLSX for spreadsheets, so the file drops straight into your existing analysis workflow.
- **No-login anonymous browsing:** Comments are pulled without connecting a TikTok account, so there is no ban risk and no personal identity tied to the export.
- **Full thread detail including replies:** Each row carries comment text, IDs, username and nickname, timestamp, likes, reply count, pinned status and profile links, with nested replies optional.
- **Batch and credit-based scaling:** Queue up multiple videos at once and spend credits against plans ranging from 500,000 to 3,000,000 comments per month.

**Strengths:** Works without a TikTok login, removing any account-suspension risk; Exports structured fields including IDs, timestamps and like counts, not just raw text; Generous free tier of 2,000 comments for testing and small jobs; Batch export across multiple video URLs in a single session

**Limitations:** Only public videos with visible comments can be exported; Credit consumption scales with comment volume, so large studies get expensive quickly; TikTok's displayed comment count is not real-time, so totals may differ slightly from what the app shows

[Profile (Markdown)](https://openaitools.app/tool/exporttok.md)

## Hugging Face

Hugging Face began as a chatbot startup and grew into what is now widely described as the home of machine learning. The core of the product is the Hub: a public, searchable registry of model weights, datasets, and interactive Spaces demos. On a typical visit you will see millions of models ranging from large language and vision models published by major labs to small fine-tunes shared by individual developers, each with model cards, libraries, and one-click inference options.

Around that registry Hugging Face has built a full working stack. Its open-source libraries — Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents — power a large share of modern training and inference pipelines, and the Hub integrates directly with them. Teams can also move beyond public hosting: Inference Providers give a single API across tens of thousands of hosted models, Inference Endpoints deploy dedicated GPUs, and Enterprise plans add SSO, audit logs, private datasets, and priority support.

The platform is free to browse, upload, and collaborate on for public content, with paid tiers for individuals, teams, and enterprises that need private storage, higher limits, and compute. Because the community continuously publishes papers, blog posts, daily papers digests, and leaderboards in the same place, Hugging Face doubles as a discovery layer for what is happening in AI right now.

**Pricing & Plans:** Free for public hosting, browsing, and community use. Paid options include a PRO individual tier, Team & Enterprise plans starting around $20 per user per month, Inference Providers usage-based API pricing, and dedicated Inference Endpoints from roughly $0.60 per GPU hour. Exact rates change, so check the official pricing page.

- **Model and dataset Hub:** Search, download, and publish across millions of models and hundreds of thousands of datasets, complete with model cards, versioning, and citations.
- **Spaces demo hosting:** Deploy Gradio, Streamlit, or static apps directly from a repository to show off a model, run comparisons, or share a tool with a public link.
- **Open-source library stack:** Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents give you end-to-end tooling for training, fine-tuning, and inference.
- **Unified inference access:** Inference Providers route a single API to tens of thousands of models from multiple vendors, while Inference Endpoints spin up dedicated GPU hardware on demand.
- **Enterprise governance:** Team and Enterprise plans add SSO, audit logs, resource groups, private repositories, region choice, and dedicated support for regulated organizations.

**Strengths:** Unmatched catalog of open models, datasets, and ready-to-run demos; First-party libraries that most teams in the ecosystem already use; Free public hosting with a clear upgrade path to paid compute and enterprise controls; Strong community signals such as downloads, likes, leaderboards, and daily papers

**Limitations:** The catalog is so large that quality varies widely and discovery takes effort; Paid compute and enterprise tiers scale in cost quickly for heavy workloads; Some popular features depend on community-maintained repos that may fall out of date

[Profile (Markdown)](https://openaitools.app/tool/hugging-face.md)

## Frequently Asked Questions

### How do ExportTok and Hugging Face compare in monthly traffic?

ExportTok has 2,782,229 monthly visits, while Hugging Face has 31,232,542. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ExportTok has a month-over-month growth rate of +9.2%; Hugging Face has +0.1%.

### How does pricing compare?

ExportTok: Freemium. Freemium with a credit model. The free plan covers 2,000 comments. Paid tiers are Essential at $9.99/month (500,000 credits), Growth at $14.99/month (1,000,000 credits) and Pro at $19.99/month (3,000,000 credits), all with yearly discounts of roughly 50%. Hugging Face: Freemium, Paid. Free for public hosting, browsing, and community use. Paid options include a PRO individual tier, Team & Enterprise plans starting around $20 per user per month, Inference Providers usage-based API pricing, and dedicated Inference Endpoints from roughly $0.60 per GPU hour. Exact rates change, so check the official pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | A unified API gateway routing requests across hundreds of language models, but lacking dataset hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting. | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Focuses strictly on community-driven discovery and sharing of generative image and video models rather than text LLMs. | [.md](https://openaitools.app/tool/civitai.md) |
| 4 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 5 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | An alternative open-source model repository and community hub, featuring extensive regional models and online interactive demos. | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 9 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers ultra-fast serverless inference for open-weight models, prioritizing production throughput over community dataset sharing. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Provides low-cost serverless inference and GPU rentals for open models, though without community spaces and datasets. | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/exporttok-vs-hugging-face

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)