Censorly VS ApiModels对比,Censorly 和 ApiModels 有什么区别?








With Censorly, you can automate text Moderation on your platform! Censorly uses powerful AI Models to scan any content/text to find and block innapropriate or sensitive Topics!
Censorly 着陆页

ApiModels 着陆页


| 类别 | 人工智能接口, AI内容检测, AI文本分类器, AI信仰 |
| Censorly 网站 | https://censorly.dev?utm_source=toolify |
| 添加时间 | 2025年2月17日 |
| Censorly 定价 | -- |
| 类别 | 人工智能接口, AI图像生成器, AI文本转语音, AI语音克隆, AI语音生成器, AI开发者工具, AI视频编辑, AI视频生成器 |
| ApiModels 网站 | https://apimodels.app?utm_source=toolify |
| 添加时间 | 2026年8月5日 |
| ApiModels 定价 | -- |
Users can integrate Censorly's API into their platform to automatically analyze and filter text content. A free demo is available for testing. Simply enter text to analyze and the API will provide real-time results.
1. Sign up at apimodels.app with Google or a phone number. You get $0.10 of free credit immediately — no credit card required. 2. Open Console → API Keys and create a key. 3. Call the endpoint for what you want to generate, with `Authorization: Bearer YOUR_API_KEY`: • Images — POST /api/v1/images/generations • Video — POST /api/v1/video/generations • Music / speech — POST /api/v1/audio/generations • LLM — POST /api/v1/chat/completions (OpenAI format) or /api/v1/messages (Anthropic format) 4. Pick a model by setting the `model` field, e.g. "gpt-image-2", "seedance-2.0", "suno-v5". Switching models means changing that one string — no new account, no new SDK. 5. Image and LLM calls return synchronously. Video, music and long-running image jobs return a taskId — poll the same endpoint, or supply a callback_url. Result files are hosted for 7 days. 6. Top up by Stripe, PayPal or Alipay when the free credit runs out. You are only charged for successful generations.
Free
1,000 requests/month, 2000 Character limit (per request)
$5/mo
30,000 requests/month, No character limit
$12/mo
80,000 requests/month, Priority API access, No character limit
$30/mo
250,000 requests/month, Priority API access, No character limit
$0
$0.10 credit on signup, no credit card required. Enough to try the cheapest models end to end.
$10
Top up $10, get $10 of balance. Pay-as-you-go, credits never expire.
$50
Top up $50, get $52 of balance (+$2 bonus).
$100
Top up $100, get $105 of balance (+$5 bonus).
$500
Top up $500, get $540 of balance (+$40 bonus).
$1000
Top up $1,000, get $1,100 of balance (+$100 bonus).
$10000
Top up $10,000, get $11,000 of balance (+$1,000 bonus).
Censorly 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Censorly 的每次访问页数为 0.00,跳出率为 0.00%。
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
ApiModels 是月访问量为 4.2K 且平均访问时长为 00:00:10 的工具。 ApiModels 的每次访问页数为 1.44,跳出率为 44.01%。
| 月访问量 | 4.2K |
| 平均·访问时长 | 00:00:10 |
| 每次访问页数 | 1.44 |
| 跳出率 | 44.01% |
对不起,没有数据
ApiModels 的前 2 个国家/地区是:United States 84.93%, India 15.07%
![]() | 84.93% |
| 15.07% |
Censorly 的 6 个主要流量来源是:邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
ApiModels 的 6 个主要流量来源是:vs_sourcesSocialOrganic 54.82%, 外链引荐 22.68%, vs_sourcesSearchOrganic 16.02%, 直接访问 3.46%, vs_sourcesGenAi 3.01%, 邮件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSocialOrganic | 54.82% |
外链引荐 | 22.68% |
vs_sourcesSearchOrganic | 16.02% |
直接访问 | 3.46% |
vs_sourcesGenAi | 3.01% |
邮件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
ApiModels 可能比 Censorly 更受欢迎。如您所见,Censorly 每月有 0 次访问,而 ApiModels 每月有 4.2K 次访问。 所以更多的人选择了ApiModels。 因此,人们很可能会在社交平台上更多地推荐 ApiModels。
Censorly 的平均访问持续时间为 00:00:00,而 ApiModels 的平均访问持续时间为 00:00:10。 此外,Censorly 的每次访问页面为 0.00,跳出率为 0.00%。 ApiModels 的每次访问页面为 1.44,跳出率为 44.01%。
ApiModels 的主要用户是 United States, India,分布如下:84.93%, 15.07%。