FacePluginは、顔認識、パッシブライブネス検知、ID文書分析を特徴とする、ID検証用の高度なオンプレミスSDKを提供します。eKYC、生体認証、不正防止のための堅牢で安全、かつ開発者に優しいソリューションを提供し、オンサイトまたはオンデバイスで情報を処理することでデータプライバシーを確保します。
製品概要
FacePlugin 製品概要
FacePluginは、顔認識、パッシブライブネス検知、ID文書分析を特徴とする、ID検証用の高度なオンプレミスSDKを提供します。eKYC、生体認証、不正防止のための堅牢で安全、かつ開発者に優しいソリューションを提供し、オンサイトまたはオンデバイスで情報を処理することでデータプライバシーを確保します。
ShareID 製品概要
ShareIDは、AIを活用した本人確認プラットフォームで、パスワードを安全な生体認証に置き換えます。公的な身分証明書と顔認識を使用して再利用可能なデジタルIDを作成し、企業の不正行為を防止し、規制遵守を保証します。
Detailed feature comparison
| Feature | FacePlugin | ShareID |
|---|---|---|
| 主要カテゴリー | APIとSDK | API |
| 追加日 | 2025-08-12 | 2025-08-12 |
| 価格 | 有料 | 有料 |
| 公式サイト | faceplugin.com | www.shareid.ai |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 3.9K | 5.3K |
| 月間成長率 | -26.8% | 0.7% |
| お気に入り | 88 | 86 |
| Details | 詳細を見る | 詳細を見る |
FacePlugin vs ShareID monthly traffic
Compare FacePlugin and ShareID by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the FacePlugin vs ShareID monthly traffic comparison, FacePlugin currently shows 3.9K visits and ShareID shows 5.3K; ShareID has about 1.4 times the visible traffic of FacePlugin, an absolute difference of about 1.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
FacePlugin monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3.2K 月間訪問数
- 2026/1: 6.6K 月間訪問数
- 2026/2: 5.6K 月間訪問数
- 2026/3: 6.2K 月間訪問数
- 2026/4: 5.3K 月間訪問数
- 2026/5: 3.9K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇳🇬Nigeria | 63.9% | 2.5K |
| 🇺🇸United States | 36.1% | 1.4K |
検索キーワード
ShareID monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 6.1K 月間訪問数
- 2026/1: 8.4K 月間訪問数
- 2026/2: 4.9K 月間訪問数
- 2026/3: 5.4K 月間訪問数
- 2026/4: 5.3K 月間訪問数
- 2026/5: 5.3K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇫🇷France | 35.44% | 1.9K |
| 🇺🇸United States | 22.63% | 1.2K |
| 🇹🇭Thailand | 16.64% | 880 |
| 🇮🇳India | 16.07% | 850 |
| 🇵🇰Pakistan | 9.22% | 487 |
検索キーワード
Usage comparison
Compare the core capabilities of FacePlugin and ShareID
FacePlugin Core features
ShareID Core features
Use cases
FacePlugin Use cases
ShareID Use cases
FacePlugin vs ShareID:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth FacePlugin vs ShareID comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. FacePlugin is primarily listed under “APIとSDK”, while ShareID is primarily listed under “API”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (FacePlugin: APIとSDK; ShareID: API); Monthly visits (FacePlugin: 3.9K; ShareID: 5.3K); Monthly growth (FacePlugin: -26.8%; ShareID: 0.7%); Favorites (FacePlugin: 88; ShareID: 86); Website (FacePlugin: faceplugin.com; ShareID: www.shareid.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the FacePlugin vs ShareID monthly traffic comparison, FacePlugin currently shows 3.9K visits and ShareID shows 5.3K; ShareID has about 1.4 times the visible traffic of FacePlugin, an absolute difference of about 1.4K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate ShareID first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
FacePlugin and ShareID currently overlap in shared categories: 認証、身元確認; shared tags: 生体認証、本人確認. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
FacePlugin's unique categories/tags are APIとSDK、スプーフィング対策、開発者ツール、eKYC、顔認識、不正防止、ライブネス検出、OCR; ShareID's are API、コンプライアンス、eIDAS、フィンテック、詐欺検出、GDPR、KYC、多要素認証. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
FacePlugin has no verified rating, 0 comments, 88 favorites, and 92 likes;ShareID has no verified rating, 0 comments, 86 favorites, and 77 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate FacePlugin first
Put FacePlugin on the priority trial list when the task aligns with “APIとSDK” and especially APIとSDK、スプーフィング対策、開発者ツール、eKYC、顔認識、不正防止. This follows recorded positioning and does not imply unlisted capabilities are absent.
FacePlugin also currently records: pricing is paid, product type is website, 3.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate ShareID first
Put ShareID on the priority trial list when the task aligns with “API” and especially API、コンプライアンス、eIDAS、フィンテック、詐欺検出、GDPR. This follows recorded positioning and does not imply unlisted capabilities are absent.
ShareID also currently records: pricing is paid, product type is website, 5.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in FacePlugin and ShareID, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
比較 FAQ
How should I choose between FacePlugin and ShareID?
Where does this comparison data come from?
What do unknown fields mean?
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