Shadow
タスク管理 · 23.2K 月間訪問数
ShadowはMac向けのAI会議アシスタントで、会議を自動で文字起こし・要約し、議論を実行可能な成果に変えます。バックグラウンドで動作し、すべての会議を永続的で検索可能な知識資産に変え、オンデバイスでのローカル処理によりプライバシーを重視しています。
VS
Spellar
語学学習 · 10.1K 月間訪問数
Spellarは、macOS、iOS、Web向けのボットフリーAIミーティングアシスタントです。会議を録音、文字起こし、要約し、実用的なインサイトとリアルタイムのコミュニケーションフィードバックを提供します。Notion、Jira、Google Docsなどのツールとシームレスに連携し、100以上の言語をサポートして生産性を向上させます。
製品概要
Shadow 製品概要
ShadowはMac向けのAI会議アシスタントで、会議を自動で文字起こし・要約し、議論を実行可能な成果に変えます。バックグラウンドで動作し、すべての会議を永続的で検索可能な知識資産に変え、オンデバイスでのローカル処理によりプライバシーを重視しています。
Preview
Spellar 製品概要
Spellarは、macOS、iOS、Web向けのボットフリーAIミーティングアシスタントです。会議を録音、文字起こし、要約し、実用的なインサイトとリアルタイムのコミュニケーションフィードバックを提供します。Notion、Jira、Google Docsなどのツールとシームレスに連携し、100以上の言語をサポートして生産性を向上させます。
Preview
Detailed feature comparison
| Feature | Shadow | Spellar |
|---|---|---|
| 主要カテゴリー | タスク管理 | 語学学習 |
| 追加日 | 2025-08-12 | 2025-08-10 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.shadow.do | www.spellar.ai |
| 製品タイプ | アプリ | 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 | 23.2K | 10.1K |
| 月間成長率 | 54.5% | 230.9% |
| お気に入り | 102 | 109 |
| Details | 詳細を見る | 詳細を見る |
Shadow vs Spellar monthly traffic
Compare Shadow and Spellar by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Shadow vs Spellar monthly traffic comparison, Shadow currently shows 23.2K visits and Spellar shows 10.1K; Shadow has about 2.3 times the visible traffic of Spellar, an absolute difference of about 13.1K 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.
Shadow monthly traffic:
Latest traffic
月間訪問数
23.2K
平均滞在時間
0:04
訪問あたりページ数
1.42
直帰率
39.95%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 17.5K 月間訪問数
- 2026/1: 22.2K 月間訪問数
- 2026/2: 16.4K 月間訪問数
- 2026/3: 20.9K 月間訪問数
- 2026/4: 15K 月間訪問数
- 2026/5: 23.2K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 57.74% | 13.4K |
| 🇮🇳India | 13.8% | 3.2K |
| 🇳🇱Netherlands | 13.23% | 3.1K |
| 🇦🇺Australia | 7.65% | 1.8K |
| 🇩🇪Germany | 7.58% | 1.8K |
検索キーワード
granola decrypt local notesshadow aishadow ai notetakershadow appshadow notetaker
Spellar monthly traffic:
Latest traffic
月間訪問数
10.1K
平均滞在時間
1:05
訪問あたりページ数
2.59
直帰率
17.74%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 7.7K 月間訪問数
- 2026/1: 5.5K 月間訪問数
- 2026/2: 5.9K 月間訪問数
- 2026/3: 3K 月間訪問数
- 2026/4: 3K 月間訪問数
- 2026/5: 10.1K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 86.56% | 8.7K |
| 🇮🇳India | 13.44% | 1.4K |
検索キーワード
spellarspellar 3.0spellar aispellar ai chrome extensionspellar.ia
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Shadow 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.
Usage comparison
Compare the core capabilities of Shadow and Spellar
Shadow Core features
会議アシスタント
文字起こし
タスク管理
Spellar Core features
会議アシスタント
文字起こし
語学学習
Use cases
Shadow Use cases
会議アシスタント
会議要約
プライバシー
生産性
文字起こし
行動項目
AIノート
ローカル処理
Macアプリ
タスク管理
Spellar Use cases
会議アシスタント
会議要約
プライバシー
生産性
文字起こし
AIコパイロット
iOS
言語学習
macOS
ノートテイカー
スピーチコーチング
Shadow vs Spellar：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Shadow vs Spellar comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Shadow is primarily listed under “タスク管理”, while Spellar is primarily listed under “語学学習”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Shadow: タスク管理; Spellar: 語学学習); Product type (Shadow: App; Spellar: Website); Monthly visits (Shadow: 23.2K; Spellar: 10.1K); Monthly growth (Shadow: 54.5%; Spellar: 230.9%); Favorites (Shadow: 102; Spellar: 109). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Shadow vs Spellar monthly traffic comparison, Shadow currently shows 23.2K visits and Spellar shows 10.1K; Shadow has about 2.3 times the visible traffic of Spellar, an absolute difference of about 13.1K 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 Shadow 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
Shadow and Spellar currently overlap in shared categories: 会議アシスタント、文字起こし; shared tags: 会議アシスタント、会議要約、プライバシー、生産性、文字起こし. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Shadow's unique categories/tags are タスク管理、行動項目、AIノート、ローカル処理、Macアプリ; Spellar's are 語学学習、AIコパイロット、iOS、言語学習、macOS、ノートテイカー、スピーチコーチング. 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
Shadow has no verified rating, 0 comments, 102 favorites, and 107 likes；Spellar has no verified rating, 0 comments, 109 favorites, and 115 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Shadow first
Put Shadow on the priority trial list when the task aligns with “タスク管理” and especially タスク管理、行動項目、AIノート、ローカル処理、Macアプリ. This follows recorded positioning and does not imply unlisted capabilities are absent.
Shadow also currently records: pricing is freemium, product type is app, 23.2K 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 Spellar first
Put Spellar on the priority trial list when the task aligns with “語学学習” and especially 語学学習、AIコパイロット、iOS、言語学習、macOS、ノートテイカー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Spellar also currently records: pricing is freemium, product type is website, 10.1K 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 Shadow and Spellar, 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 Shadow and Spellar?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.