Free
$0Free plan available.
Planable is a social media collaboration platform designed for social media teams. It allows users to create and plan social media campaigns, collaborate on content with their team and clients, and ensure every post is reviewed and approved before going live. Planable supports publishing and scheduling content on various social media platforms, including Facebook, Twitter, LinkedIn, and Instagram.
Planable enables teams to create dedicated workspaces for each brand, organize posts by campaign or content pillar using labels, customize views and filters, and centralize assets in a media library. Users can create, review, and schedule content, utilizing approval workflows to ensure all posts are authorized before they are published.
Planable supports Facebook, TikTok, Instagram, LinkedIn, X (Twitter), YouTube, Google Business Profile, Pinterest, Threads, and other content formats.
Yes, Planable provides mobile apps for both iOS and Android devices, enabling content planning while on the go.
Planable supports various content types, including blogs, newsletters, emails, and social media posts.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Planable.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.
Compare Gemini 1.0 Pro Vision Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
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