In this tl;dv vs Fellow showdown, both stand out as exceptional AI-powered meeting tools, offering advanced transcription, seamless collaboration, and powerful integrations.
However, despite their similarities, key differences set them apart.
In this battle, we will explore these differences across various dimensions, including meeting management capabilities, transcription accuracy, integration options, and more.
By the end of this analysis, you will have a clear understanding of the unique strengths of each platform and which one best suits your needs. Keep reading to find out more.
いっしょくたにする
| tl;dv | フェロー | |
|---|---|---|
| トランスクリプション | 20 🟢 | 15 |
| レコーディング | 20 🟢 | 12 |
| カンバセーショナル・インテリジェンス | 14 🟢 | 8 |
| 自動化と統合 | 10 🟢 | 6 |
| メモ書き | 12 🟢 | 10 |
| セキュリティ | 20 🟢 | 14 |
| コーチング | 8 🟢 | 2 |
| 管理者 | 8 🟢 | 4 |
| 組織 | 12 🟢 | 8 |
| サポート | 4 🟢 | 2 |
| レベニュー・インテリジェンス | 0 | 0 |
| その他 | 6 🟢 | 4 |
| 合計 | 134 🟢 | 85 |
When comparing tl;dv and Fellow, the results speak for themselves. tl;dv takes the lead with an impressive 134 points, leaving Fellow behind at 85. It particularly excels in key areas like transcription, recording, conversational intelligence, automation, and security.
For teams looking for a complete meeting management solution, tl;dv proves to be a strong choice. It’s especially beneficial for sales and leadership teams that rely on efficient documentation and insights. Plus, with its intuitive interface and generous free plan, getting started is easier than ever. While Fellow has its advantages, it doesn’t dominate in any particular category, making tl;dv the more well-rounded option for those seeking the best AI-powered meeting assistant.tl;dv vs Fellow: 12 Factors to Consider While Choosing the Best AI Notetaker
順位は？- そのプラットフォームが明らかに勝者である場合、あるいは他のプラットフォームが同等に能力を満たした場合、2ポイントを与える。
- 能力がある場合は1点を与えるが、勝敗には関係ない。
- 能力がない場合は0点とする。
トランスクリプション機能
| tl;dv (20) | Fellow (15) | |
|---|---|---|
| トランスクリプションを含む | 🟢 無制限 | 🟢 無制限 |
| リアルタイムのトランスクリプション | 🔴 | 🔴 |
| 対応言語 | 🟢+40 | 🟠 36 |
| 対応方言 | 🟢 | 🔴 |
| フィラーワード除去 | もうすぐ🔴。 | 🔴 |
| スピーカー認識 | 🟢 | 🟢 |
| スピーカー名 | 🟢 | 🟢 |
| アップロードされたビデオ/音声の書き起こし | 🟢 | 🔴 |
| トランスクリプトのエクスポート | 🟢 | 🟢 |
| トランスクリプトからのクリップ | 🟢 | 🟢 |
| カスタム語彙 | もうすぐ🔴。 | 🔴 |
| 全文検索 | 🟢 | 🟢 |
| 編集転写 | 🟢 | 🟢 |
トランスクリプションを含む
Both tl;dv and Fellow offer unlimited transcriptions, allowing users to transcribe as many meetings as needed without worrying about caps or additional costs. More importantly, both tools offer unlimited transcriptions for free (though Fellow only offers a limited number of recordings).対応言語
tl;dv supports transcription in over 40 languages, providing a broad linguistic range that caters to global teams and multilingual environments. In contrast, Fellow’s transcription service is available in 36 languages, making tl;dv the superior choice for users needing transcription services across a wider variety of languages.対応方言
Dialect recognition is a feature where tl;dv excels as it provides enhanced transcription accuracy for users with diverse dialects. The nuances of regional accents are accurately captured with tl;dv, but not by Fellow. This could lead to Fellow’s transcriptions being less precise for speakers of dialects.フィラー・ワード除去
Neither tl;dv nor Fellow offers filler word removal at this moment. tl;dv plans to integrate this capability in the near future, allowing users to produce cleaner, more concise transcripts by getting rid of unnecessary words and phrases. This marks a future differentiator between tl;dv and Fellow.アップロードされたビデオ/音声の書き起こし
tl;dv allows users to transcribe uploaded video and audio files, offering flexibility for transcribing content beyond live meetings. Fellow currently lacks this feature, limiting its utility for users who need to transcribe pre-recorded materials.カスタム語彙
tl;dv is set to introduce a custom vocabulary feature, which will allow users to fine-tune transcriptions for specialized fields, industry jargon, or unique terminology. This upcoming addition is particularly valuable for teams in technical, medical, or legal sectors where accuracy is crucial. Fellow, on the other hand, does not currently offer this capability, making tl;dv the more forward-thinking option for users who require tailored transcription precision.テープ起こし
Both tl;dv and Fellow offer the ability to edit transcriptions, allowing users to correct any inaccuracies and ensure the final transcript accurately reflects the meeting content.
録音機能
| tl;dv (20) | Fellow (12) | |
|---|---|---|
| ビデオプラットフォーム | 🟢Zoom, MS Teams、Google Meet | 🟢Zoom, MS Teams、Google Meet |
| ストレージ | 🟢 無制限 | 🟢 無制限 |
| 記録映像 | 🟢 無制限 | 🟠 5 free |
| 同時開催 | 🟢 無制限 | 🔴 |
| ダウンロード・レコーディング | 🟢 | 🟢 |
| スライドをキャプチャする | 🟢 | 🔴 |
| アナリティクスを見る | 🟢 | 🟢 |
| 統合カレンダー | 🟢 | 🟢 |
| 録音編集 | 🔴 | 🔴 |
| リール | 🟢 | 🔴 |
| カスタムボットアバター | 🟢 | エンタープライズのみ |
ビデオ・プラットフォーム
Both tl;dv and Fellow support Zoom, Microsoft Teams, and Google Meet, ensuring compatibility with the most widely used video conferencing tools. No matter which platform your team prefers, both tools have you covered when it comes to seamless meeting recordings.
保管制限
tl;dv and Fellow both offer unlimited storage, allowing users to keep and access past recordings without worrying about hitting a cap. This is a crucial feature for teams that need to maintain an extensive archive of meetings for training, reference, or compliance purposes.
記録映像
tl;dv allows unlimited video recordings, making it ideal for teams that rely heavily on recorded meetings. In contrast, Fellow limits free users to just five video recordings, which may not be sufficient for teams that need to archive meetings frequently.
同時開催会議の録画
One of the biggest differentiators between these two tools is tl;dv’s ability to record multiple meetings simultaneously. This means large teams can capture different discussions happening at the same time without restrictions. Fellow does not support concurrent recordings, making it less suitable for organizations that frequently host overlapping meetings.
スライド・キャプチャー
tl;dv stands out with its slide capture feature, automatically saving shared slides during a meeting. This is a valuable tool for teams that rely on visual presentations, ensuring that key content is preserved alongside the recording. Fellow does not offer this feature, which could be a drawback for presentation-heavy meetings.
ビューイング・アナリティクス
Both tl;dv and Fellow provide analytics on recorded meetings, giving users insights into who viewed the recordings and how they engaged with the content. This can be especially useful for tracking follow-ups and understanding team engagement.
リール
tl;dv features a Reels function that allows users to create highlight clips from recordings, making it easy to extract and share key moments from meetings. Fellow lacks this capability, which means users must manually sift through full recordings to find important segments.
カスタムボットアバター
tl;dv allows users to customize their recording bot’s avatar, making it a more personalized experience when capturing meetings. Fellow only offers this feature to Enterprise users, limiting customization options for most teams.
会話インテリジェンス機能
| tl;dv (14) | Fellow (8) | |
|---|---|---|
| シングルミーティングAIインサイト | 🟢 | 🟢 |
| マルチミーティングAIインサイト | 🟢 | 🔴 |
| キーワード追跡 | 🟢 | 🔴 |
| センチメント分析 | いいえ、EUのAI法に従います。 | 🔴 |
| キートピックの検出 | 🟢 | 🟢 |
| 音声分析 | 🟢 | 🔴 |
| アクションアイテムの検出 | 🟢 | 🟢 |
| 質問検出 | 🟢 | 🟢 |
シングルミーティングAIインサイト
Both tl;dv and Fellow provide AI-driven insights for individual meetings, helping users quickly identify key discussion points, decisions, and action items. This feature is useful for summarizing meetings efficiently without manually reviewing the entire transcript.
マルチミーティングAIインサイト
tl;dv goes a step further by offering AI insights across multiple meetings, allowing users to track trends, recurring discussion points, and long-term action items. This is especially useful for teams that have ongoing projects and want to see patterns over time. Fellow does not provide this feature, making it less effective for long-term analysis.
キーワード追跡
tl;dv includes keyword tracking, enabling users to monitor specific terms or phrases across meetings. This is valuable for sales teams tracking customer objections, product teams monitoring feedback, or managers identifying key discussion trends. Fellow does not offer keyword tracking, meaning users would need to manually search through transcripts to find relevant discussions.
センチメント分析
Neither tl;dv nor Fellow currently includes sentiment analysis. In tl;dv’s case, this is due to compliance with the EU AI Act, which restricts certain AI-driven analytics related to user emotions.
音声分析
tl;dv provides speech analytics, which can analyze talking patterns, identify interruptions, and track speaking time. This is particularly useful for assessing team dynamics and improving communication efficiency. Fellow does not offer this feature, limiting its ability to provide deeper insights into conversational patterns.
質問検出
Both tl;dv and Fellow can detect and highlight questions asked during a meeting. This is useful for reviewing Q&A sessions, customer inquiries, or internal discussions that require follow-up.
自動化と統合機能
| tl;dv (10) | Fellow (6) | |
|---|---|---|
| CRMインテグレーション | プロプランの🟢。 | ビジネスプランの🟢について |
| 電子メール統合 | 🟢 | 🟢 |
| Zapierインテグレーション | プロプランの🟢。 | ビジネスプランの🟢について |
| 会議後のサマリー・メール | 🟢 | 🔴 Manual only |
| スケジュール・レポート | 🟢 | 🔴 |
CRMインテグレーション
Both tl;dv and Fellow offer integrations with CRM systems, allowing teams to automatically sync meeting notes and insights with their customer relationship management tools.
However, tl;dv includes this feature in its Pro plan, while Fellow restricts it to its Business plan, meaning users may need to upgrade to a higher tier in Fellow to access CRM sync.
Zapierインテグレーション
Both platforms integrate with Zapier, enabling users to connect their meeting insights to thousands of other apps for automated workflows. Just like with CRM integrations, tl;dv includes this in its Pro plan, whereas Fellow requires users to be on the Business plan.
ミーティング後のサマリー・メール
tl;dv automatically sends post-meeting summary emails, ensuring that attendees receive key takeaways without extra effort. Fellow, on the other hand, requires users to manually send summaries, adding an extra step to the workflow. This makes tl;dv the more convenient option for teams that want automated follow-ups.
予定レポート
tl;dv allows users to schedule reports, automatically generating and delivering insights at regular intervals. Even better, this is available from the free plan. This is especially useful for tracking meeting trends over time without needing to manually compile data. It’s also great for managers that want to stay on top of their team’s external calls.
Fellow does not offer scheduled reports, meaning users have to generate and review insights on demand.
ノート作成機能
| tl;dv (12) | Fellow (10) | |
|---|---|---|
| AIノート | 🟢 | 🟢 |
| 通話中の手動メモ | 🟢 | 🟢 |
| メモにタグを付ける | 🟢 | 🟢 |
| タスクを割り当てる | 🔴 | 🟢 |
| AIタグ / ブックマーク | 🟢 | 🔴 |
| コメント | 🟢 | 🔴 |
| カスタム・ミーティング・テンプレート | 🟢 | 🟢 |
通話中の手動メモ
Users of both platforms can take manual notes during meetings, ensuring they can jot down important insights in real time. This feature is useful for adding personal observations or clarifying AI-generated summaries.
ノートにタグを付ける
Both tools allow users to tag specific team members in their notes, ensuring that action items or important takeaways reach the right people.
タスクの割り当て
Fellow provides built-in task assignment, allowing users to create action items directly from meeting notes and track their progress.
tl;dv does not currently support direct task assignments, making Fellow the better choice for teams that want a more structured follow-up system within their meeting tool.
AIタグ＆ブックマーク
tl;dv offers AI-generated tags and bookmarks, automatically identifying key moments in conversations. This makes it easier to navigate long transcripts and highlight essential takeaways.
Fellow does not provide AI-powered tagging, which means users may need to manually mark important sections.
コメント
tl;dv allows users to leave comments on meeting notes, fostering collaboration by enabling discussions around specific points. This feature is missing in Fellow, meaning users may need to rely on external tools for note-based discussions.
カスタム・ミーティング・テンプレート
Both platforms offer custom meeting templates, making it easier to structure recurring meetings and ensure consistency in note-taking across different sessions. This is also great for syncing meeting data with CRM platforms in the most seamless way possible.
セキュリティ能力
| tl;dv (20) | Fellow (14) | |
|---|---|---|
| データ保持 | 無料プランの場合6ヶ月間 すべての有料プランの場合無制限 | 🟢 Unlimited |
| SOC2準拠 | 🔴 （認証取得中） | 🟢 |
| SAMLベースのSSO | エンタープライズ版のみ | エンタープライズ版のみ |
| GDPR対応 | 🟢 | 🟢 |
| EUのAI法に準拠 | 🟢 | 非公開 |
| AIを訓練するためにあなたのデータを使う | 🟢 (いいえ、あなたのデータは非公開です) | 🟢 (いいえ、あなたのデータは非公開です) |
| プライベート・ストレージ | エンタープライズ版のみ | 非公開 |
| LLMに送られる匿名化された機密データ | 🟢 | 非公開 |
| ミーティング・データのチャンキングとランダム化 | 🟢 | 非公開 |
| LLMプロバイダーとのBAA | 🟢 | 🟢 |
| ベンダーとの0日データ保持ポリシー | 🟢 | 🟢 |
データ保持
Both tl;dv and Fellow provide unlimited data retention on their paid plans, ensuring users can store and access historical meetings without limits. However, Fellow offers unlimited storage even on free plans, while tl;dv only retains data for six months for free users. This makes Fellow a slightly better option for users who need long-term access without upgrading.
SOC 2 コンプライアンス
Fellow is SOC 2 compliant, meaning it meets strict industry standards for managing customer data securely. tl;dv is in the process of obtaining SOC 2 certification, but as of now, it has not yet been finalized.
GDPR準拠
Both tools are GDPR-compliant, ensuring they meet the European Union’s data protection regulations. This is crucial for companies operating within the EU or handling European customer data.
EU AI法への対応
tl;dv is fully compliant with the EU AI Act, meaning it adheres to the latest European regulations regarding AI transparency, ethical usage, and data protection.
Fellow, however, has not disclosed its compliance with this new legislation, making it uncertain whether it aligns with the latest AI regulations.
AIトレーニングとデータプライバシー
Both tools prioritize data privacy, ensuring that user data is not used to train AI models. This guarantees that meeting conversations remain confidential and are not leveraged for AI development.
プライベート・ストレージ
Enterprise users of tl;dv can opt for private storage, offering an extra layer of security for sensitive meeting recordings.
Fellow, however, does not disclose private storage options, leaving it unclear whether organizations can manage their data separately.
AIモデルに送られる匿名化されたデータ
tl;dv anonymizes sensitive data before sending it to large language models (LLMs) for processing, enhancing user privacy and preventing identifiable information from being exposed.
Fellow has not disclosed whether it follows a similar anonymization process.
会議データのチャンキングと無作為化
tl;dv employs meeting data chunking and randomization, further securing sensitive conversations by breaking down and randomizing data before it is processed by AI.
Fellow has not disclosed whether it utilizes similar security measures.
LLMプロバイダーとの業務提携契約（BAA）
Both tools maintain BAA agreements with their LLM providers, ensuring that third-party AI systems handle data responsibly and in compliance with security standards.
ベンダーとの0日データ保持ポリシー
Both platforms enforce a 0-day data retention policy with external vendors, meaning any shared data is not stored beyond the required processing time, minimizing security risks.
コーチング能力
| tl;dv (8) | Fellow (2) | |
|---|---|---|
| Playbooks スコアカード | 🟢 | 🔴 |
| カスタムPlaybooks | 🟢 | 🔴 |
| テンプレートPlaybooks | 🟢 | エンタープライズのみ |
| 異議申し立てへの対応 | 🟢 | 🔴 |
Playbooks スコアカード
tl;dv provides robust Playbooks and Scorecards, enabling teams to structure their coaching sessions effectively and track progress over time. This feature is completely absent in Fellow, making it less suitable for teams that rely on structured coaching methodologies.
カスタムPlaybooks
With tl;dv, users can create custom Playbooks, tailoring coaching strategies to fit their specific needs. Whether it’s for onboarding, sales enablement, or leadership training, teams can personalize their coaching process.
Fellow, on the other hand, does not support custom Playbooks, limiting its flexibility for personalized coaching approaches.
テンプレートPlaybooks
Both platforms offer Template Playbooks, but Fellow restricts this feature to Enterprise users, while tl;dv provides it to all Business users and above. This means that even smaller teams using tl;dv can take advantage of structured coaching templates without needing an expensive plan upgrade.
異議申し立てへの対応
tl;dv includes AI Objection Handling, a feature that helps sales and customer support teams prepare for and respond effectively to common customer concerns. This can be a critical tool for boosting deal closure rates and improving customer interactions.
Fellow does not offer any objection-handling features, making it less effective for coaching teams in high-stakes conversations.
管理者機能
| tl;dv (8) | Fellow (4) | |
|---|---|---|
| チームメンバーのカレンダーにすべての会議の自動記録を適用する。 | 🟢 | 🟢 |
| チームメンバーが記録した会議の自動共有を適用する | 🟢 | 🔴 |
| 削除を防ぐ | 🟢 | 🔴 |
| すべての録画の管理者権限 | 🟢 | 🟢 |
チームミーティングの自動録音
Both tl;dv and Fellow allow admins to enable automatic recording for all team meetings, ensuring that no important discussions are missed. This is a valuable feature for organizations that want to maintain thorough documentation of their meetings.
録画会議の自動共有
tl;dv gives admins the ability to automatically share recorded meetings across the team, ensuring transparency and easy access to meeting insights. Fellow lacks this capability, requiring team members to manually share recordings, which can lead to inefficiencies or lost insights.
削除の防止
With tl;dv, admins can prevent users from deleting recordings, adding an extra layer of security and accountability. It prevents bad actors from hiding unprofessional calls and preserves important information for compliance and review.
This feature is completely absent in Fellow, meaning team members have the ability to remove recordings at will. This could be a concern for compliance and record-keeping.
組織能力
| tl;dv (12) | Fellow (8) | |
|---|---|---|
| チーム・ワークスペース | 🟢 | 🟢 |
| ミーティングライブラリー | 🟢 | 🟢 |
| スマートフィルター | 🟢 | 🔴 |
| グローバル検索 | 🟢 | 🟢 |
| 会議内検索 | 🟢 | 🟢 |
| フォルダ | 🟢 | 🔴 |
スマートフィルター
One of tl;dv’s standout features is Smart Filters, which allow users to quickly sort through meetings based on relevant criteria. This makes it much easier to locate specific discussions without manually combing through numerous recordings.
Fellow does not offer Smart Filters, making it less efficient for users managing a high volume of meeting content.
グローバル＆イン・ミーティング検索
Both tools support global search across all meetings and search within individual meetings, ensuring users can pinpoint key moments or topics with ease. Users can search for specific moments either in the meeting library or in the meeting itself to quickly and easily find what they’re looking for.
整理のためのフォルダ
tl;dv also provides Folders, allowing teams to categorize meetings into structured collections. This is especially useful for larger teams that need clear organization of their recordings.
Fellow does not have this feature, making it more challenging to keep meetings systematically arranged.
サポート能力
| tl;dv (4) | Fellow (2) | |
|---|---|---|
| フリープランでのサポート | 🟢 チャットとEメール | 🟢 チャットとEメール |
| 優先サポート | プロプランの🟢。 | 🔴 |
フリープランでのサポート
Both platforms provide chat and email support even on their free plans, ensuring that all users, regardless of whether they are paying customers, can access assistance when needed.
優先サポート
Where tl;dv stands out is its priority support for Pro users, ensuring faster response times and a higher level of assistance for paying customers. It also provides dedicated support for Business and Enterprise plan owners.
Fellow does not offer priority support for its Team plan, but Business and Enterprise users do get a dedicated support manager.
収益インテリジェンス機能
| tl;dv (0) | Fellow (0) | |
|---|---|---|
| 予測 | 🔴 | 🔴 |
| 取引実行 | 🔴 | 🔴 |
Neither tl;dv nor Fellow offer Revenue Intelligence features such as Forecasting or Deal Execution.
For teams seeking specialized tools to support sales forecasting or deal execution workflows, additional or alternative solutions would be necessary, as these capabilities are not included in either platform.
誰のため？
| tl;dv (6) | Fellow (4) | |
|---|---|---|
| G2格付け | 🟢 4.7 | 🟢 4.7 |
| セットアップの容易さ | 🟢ゆとりの無料プラン+ クリーンなUI | 🔴 Decent free plan + need business email. |
| ローカライズされたプラットフォーム | (7ヶ国語) | 🔴 |
| こんな人に最適 | SMBセールス | 🟢 Mid-market / SMB Sales |
Both tl;dv and Fellow score 4.7/5 on G2, indicating that users are very happy with both tools. They’re made for similar markets too, with Fellow taking on SMB Sales and mid-market, while tl;dv focuses primarily on SMB Sales teams.
tl;dv excels with its ease of set up, empowering users to get started immediately with its generous free plan and clean user interface. Fellow’s free plan is not bad (it does the job if you’re just looking to try it out), but you can only sign up with a business email.
For multinational teams, however, tl;dv is the only serious option. It has a localized platform in seven different languages, making it a fantastic choice for global teams. This means the website is specifically maintained in seven languages, not just arbitrarily translated. Fellow only offers their platform in English, highlighting a significant drawback for international teams.
Verdict: tl;dv vs Fellow – Which One Is the Best?
| tl;dv | フェロー | |
|---|---|---|
| トランスクリプション | 20 🟢 | 15 |
| レコーディング | 20 🟢 | 12 |
| カンバセーショナル・インテリジェンス | 14 🟢 | 8 |
| 自動化と統合 | 10 🟢 | 6 |
| メモ書き | 12 🟢 | 10 |
| セキュリティ | 20 🟢 | 14 |
| コーチング | 8 🟢 | 2 |
| 管理者 | 8 🟢 | 4 |
| 組織 | 12 🟢 | 8 |
| サポート | 4 🟢 | 2 |
| レベニュー・インテリジェンス | 0 | 0 |
| その他 | 6 🟢 | 4 |
| 合計 | 134 🟢 | 85 |
In the tl;dv vs Fellow showdown, tl;dv emerges as the stronger choice, leading in nearly every category, including recording, conversational intelligence, automation & integrations, note-taking, security, coaching, and admin capabilities. With a total score of 134 points, it offers a well-rounded solution for teams looking for comprehensive meeting capture, advanced AI-driven insights, automation, and robust security features.
Fellow, while trailing with 85 points, holds its ground with strong note-taking features and a focus on meeting organization. It’s a solid choice for teams that prioritize collaborative meeting management, task assignment, and structured meeting templates, even if it lacks some of tl;dv’s advanced automation and AI-powered sales features.
For organizations seeking a full-featured platform that not only records and transcribes meetings but also enhances team performance, streamlines workflows, and prioritizes security, tl;dv is the clear winner. In addition to being a stronger platform overall, tl;dv provides a better free plan so you can get started without jumping through hoops.
Meanwhile, Fellow is better suited for teams that need a lightweight solution centered around structured meetings and collaborative note-taking.
