How to Add TikTok Video Analysis to Your Next.js App

TikTok is the fastest-growing content platform, and developers are scrambling to build tools around it — from transcript extractors to comment analyzers to trend discovery tools.

The problem? TikTok doesn't offer a generous public API for content extraction. That's where third-party APIs come in.

In this tutorial, we'll build a TikTok video analyzer using Next.js and SocialKit's TikTok APIs.

What We're Building

A tool that takes a TikTok video URL and returns:

The video transcript (extracted from audio)
An AI-generated summary
Video stats (views, likes, comments, shares)
Comment data and sentiment

This is useful for creators, marketers, and anyone building content tools.

Prerequisites

A Next.js app (or clone NextUpKit for a full setup)
A SocialKit Access Key (20 free credits on signup)

Add your key to .env.local:

SOCIALKIT_ACCESS_KEY=your_access_key_here

SocialKit uses simple GET requests with an x-access-key header for authentication. Let's build the API routes.

The API Routes

TikTok Transcript Extraction

// src/app/api/tiktok/transcript/route.ts
import { NextRequest, NextResponse } from "next/server";

export async function POST(req: NextRequest) {
  const { url } = await req.json();

  const response = await fetch(
    `https://api.socialkit.dev/tiktok/transcript?url=${encodeURIComponent(url)}`,
    {
      headers: {
        "x-access-key": process.env.SOCIALKIT_ACCESS_KEY!,
      },
    }
  );

  const json = await response.json();
  return NextResponse.json(json.data);
}

The response includes the full transcript, timestamped segments, word count, and available subtitle languages:

{
  "success": true,
  "data": {
    "url": "...",
    "videoId": "...",
    "transcript": "Full transcript text...",
    "transcriptSegments": [
      { "text": "Hey guys", "start": 0.0, "duration": 1.5, "timestamp": "00:00" }
    ],
    "wordCount": 200,
    "segments": 15,
    "subtitleInfos": [{ "languageCodeName": "eng-US", "source": "ASR" }]
  }
}

TikTok Video Stats

// src/app/api/tiktok/stats/route.ts
import { NextRequest, NextResponse } from "next/server";

export async function POST(req: NextRequest) {
  const { url } = await req.json();

  const response = await fetch(
    `https://api.socialkit.dev/tiktok/stats?url=${encodeURIComponent(url)}`,
    {
      headers: {
        "x-access-key": process.env.SOCIALKIT_ACCESS_KEY!,
      },
    }
  );

  const json = await response.json();
  return NextResponse.json(json.data);
}

Returns views, likes, comments, shares, collects, video title, channel info, duration, and thumbnail.

TikTok Comments

// src/app/api/tiktok/comments/route.ts
import { NextRequest, NextResponse } from "next/server";

export async function POST(req: NextRequest) {
  const { url } = await req.json();

  const response = await fetch(
    `https://api.socialkit.dev/tiktok/comments?url=${encodeURIComponent(url)}&limit=50`,
    {
      headers: {
        "x-access-key": process.env.SOCIALKIT_ACCESS_KEY!,
      },
    }
  );

  const json = await response.json();
  return NextResponse.json(json.data);
}

Returns comments with author info, likes, reply counts, and supports cursor-based pagination (up to 100 per request).

Building the Analysis Dashboard

"use client";

import { useState } from "react";

interface AnalysisResult {
  transcript?: string;
  summary?: string;
  stats?: {
    views: number;
    likes: number;
    comments: number;
    shares: number;
  };
}

export default function TikTokAnalyzer() {
  const [url, setUrl] = useState("");
  const [result, setResult] = useState<AnalysisResult | null>(null);
  const [loading, setLoading] = useState(false);

  const analyze = async () => {
    setLoading(true);

    const [transcriptRes, statsRes] = await Promise.all([
      fetch("/api/tiktok/transcript", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ url }),
      }),
      fetch("/api/tiktok/stats", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ url }),
      }),
    ]);

    const transcriptData = await transcriptRes.json();
    const statsData = await statsRes.json();

    setResult({
      transcript: transcriptData.transcript,
      stats: statsData,
    });
    setLoading(false);
  };

  return (
    <div className="max-w-3xl mx-auto p-6">
      <h1 className="text-3xl font-bold mb-6">TikTok Video Analyzer</h1>

      <div className="flex gap-3 mb-8">
        <input
          type="text"
          value={url}
          onChange={(e) => setUrl(e.target.value)}
          placeholder="Paste a TikTok video URL..."
          className="flex-1 p-3 border rounded-lg"
        />
        <button
          onClick={analyze}
          disabled={loading}
          className="px-6 py-3 bg-black text-white rounded-lg"
        >
          {loading ? "Analyzing..." : "Analyze"}
        </button>
      </div>

      {result?.stats && (
        <div className="grid grid-cols-4 gap-4 mb-8">
          <div className="p-4 bg-gray-50 rounded-lg text-center">
            <div className="text-2xl font-bold">
              {result.stats.views?.toLocaleString()}
            </div>
            <div className="text-sm text-gray-500">Views</div>
          </div>
          <div className="p-4 bg-gray-50 rounded-lg text-center">
            <div className="text-2xl font-bold">
              {result.stats.likes?.toLocaleString()}
            </div>
            <div className="text-sm text-gray-500">Likes</div>
          </div>
          <div className="p-4 bg-gray-50 rounded-lg text-center">
            <div className="text-2xl font-bold">
              {result.stats.comments?.toLocaleString()}
            </div>
            <div className="text-sm text-gray-500">Comments</div>
          </div>
          <div className="p-4 bg-gray-50 rounded-lg text-center">
            <div className="text-2xl font-bold">
              {result.stats.shares?.toLocaleString()}
            </div>
            <div className="text-sm text-gray-500">Shares</div>
          </div>
        </div>
      )}

      {result?.transcript && (
        <div className="p-4 bg-gray-50 rounded-lg">
          <h2 className="font-bold mb-2">Transcript</h2>
          <p className="whitespace-pre-wrap">{result.transcript}</p>
        </div>
      )}
    </div>
  );
}

Use Cases You Can Build

This TikTok analysis setup opens the door to several SaaS products:

TikTok Comment Viewer — Let users browse and search comments without a TikTok account. Huge search demand for "tiktok comment viewer" and "view tiktok comments anonymously."
Trend Research Tool — Use the TikTok Search API to find trending videos by keyword and analyze what's working.
Content Repurposing — Extract TikTok transcripts and turn them into blog posts, tweets, or YouTube scripts.
Competitor Analysis — Track competitor TikTok accounts with the TikTok Channel Stats API and monitor their growth.
Influencer Vetting — Pull engagement stats and comment sentiment before signing influencer deals.

Why SocialKit for TikTok Data?

SocialKit offers the most comprehensive TikTok API suite available:

TikTok Transcript API — Extract scripts from any TikTok video
TikTok Summarizer API — AI-powered video summaries
TikTok Comments API — Full comment data with engagement metrics
TikTok Stats API — Views, likes, shares, and creator data
TikTok Channel Stats API — Follower counts and channel analytics
TikTok Search API — Find trending content by keyword

All of these work with a simple REST API call. No scraping, no browser automation, no maintenance headaches.

Wrapping Up

Adding TikTok video analysis to your Next.js app takes minutes with the right API. The combination of NextUpKit for your app foundation and SocialKit for video data gives you everything you need to build a production-ready TikTok tool.

Start with the 20 free credits on SocialKit and see how it works. You might just find your next SaaS idea in the process.