Anthropic/claude-fable-5-file-analysis

claude-fable-5-file-analysis

Free to try Claude Fable 5 API for document reasoning, PDF review, report summaries, and file Q&A. Stable, competitive pricing for professional analysis workflows. Built for free testing and stable API workflows.

File Analysis

Related Claude Fable 5 Models

claude-fable-5-text-to-texttext-to-text

claude-fable-5-web-searchweb-search

claude-fable-5-file-analysisfile-analysis

Documentation

API Examples

JavaScriptPythoncURL

Submit Example

const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer YOUR_API_KEY',
    Accept: 'text/event-stream',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'claude-fable-5-file-analysis',
    messages: [
      {
        role: 'user',
        content: [
          { type: 'text', text: 'Summarize this file and extract the key risks.' },
          {
            type: 'file',
            file: {
              filename: 'demo.pdf',
              file_data: 'https://example.com/demo.pdf'
            }
          }
        ]
      }
    ],
    stream: true,
    max_tokens: 4096,
    top_p: 0.9,
    top_k: 50
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let assistantText = '';

while (true) {
  const { done, value } = await reader.read();
  if (done) break;

  buffer += decoder.decode(value, { stream: true });
  const frames = buffer.split('\n\n');
  buffer = frames.pop() || '';

  for (const frame of frames) {
    const lines = frame.split('\n').filter(Boolean);
    let eventName = 'message';
    const dataLines = [];

    for (const line of lines) {
      if (line.startsWith('event:')) {
        eventName = line.slice(6).trim();
      } else if (line.startsWith('data:')) {
        dataLines.push(line.replace(/^data:\s*/, ''));
      }
    }

    const raw = dataLines.join('\n').trim();
    if (raw === '[DONE]') {
      console.log('\nFinal text:', assistantText);
      continue;
    }

    let payload;
    try {
      payload = JSON.parse(raw);
    } catch {
      continue;
    }

    if (eventName === 'error' || payload.error) {
      const msg = payload.error?.message ?? payload.message ?? 'Chat request failed';
      throw new Error(msg);
    }

    const delta = payload.choices?.[0]?.delta;
    if (delta?.content) {
      assistantText += delta.content;
      console.log(assistantText);
    }
  }
}

Submit Example

import json
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/chat/completions',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Accept': 'text/event-stream',
        'Content-Type': 'application/json',
    },
    json={
        'model': 'claude-fable-5-file-analysis',
        'messages': [
            {
                'role': 'user',
                'content': [
                    {'type': 'text', 'text': 'Summarize this file and extract the key risks.'},
                    {
                        'type': 'file',
                        'file': {
                            'filename': 'demo.pdf',
                            'file_data': 'https://example.com/demo.pdf',
                        },
                    },
                ],
            }
        ],
        'stream': True,
        'max_tokens': 4096,
        'top_p': 0.9,
        'top_k': 50,
    },
    stream=True,
)

response.raise_for_status()

event_name = 'message'
assistant_text = ''

for raw_line in response.iter_lines(decode_unicode=True):
    if not raw_line:
        event_name = 'message'
        continue

    if raw_line.startswith('event:'):
        event_name = raw_line.replace('event:', '', 1).strip()
        continue

    if raw_line.startswith('data:'):
        raw_data = raw_line.replace('data:', '', 1).strip()
        if raw_data == '[DONE]':
            print('\nFinal text:', assistant_text)
            continue

        payload = json.loads(raw_data)

        if event_name == 'error' or payload.get('error'):
            error = payload.get('error') or payload
            raise RuntimeError(error.get('message', 'Chat request failed'))

        choices = payload.get('choices') or []
        if choices:
            delta = choices[0].get('delta') or {}
            content = delta.get('content')
            if content:
                assistant_text += content
                print(content, end='', flush=True)

Submit Example

curl -N -X POST "https://api.flaq.ai/api/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-fable-5-file-analysis",
    "messages": [
      {
        "role": "user",
        "content": [
          { "type": "text", "text": "Summarize this file and extract the key risks." },
          {
            "type": "file",
            "file": {
              "filename": "demo.pdf",
              "file_data": "https://example.com/demo.pdf"
            }
          }
        ]
      }
    ],
    "stream": true,
    "max_tokens": 4096,
    "top_p": 0.9,
    "top_k": 50
  }'

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Claude Fable 5 File Analysis Pricing

Parameters	Price	Original Price	Discount

Token: input	$9.0000 per 1M input tokens	$10.0000 per 1M input tokens	90%
Token: output	$45.0000 per 1M output tokens	$50.0000 per 1M output tokens	90%

README

Stable & Affordable Claude Fable 5 File Analysis API (Anthropic Document Reasoning)

Claude Fable 5 File Analysis API delivers dependable Anthropic LLM reasoning for documents, reports, screenshots, and professional knowledge workflows. This affordable Claude file analysis API integration helps developers build document Q&A, PDF review, report summarization, extraction, and internal research tools through one unified Flaq AI endpoint. Claude Fable 5 File Analysis is designed for teams that need practical file understanding, structured answers, and stable API behavior for production analysis workflows.

Key Features of Claude Fable 5 File Analysis API

Document Reasoning & Q&A: Ask questions about uploaded files, extract key points, and generate structured answers through Claude file analysis API integration.
Cost-Effective Analysis API Pricing: Build affordable document workflows for teams, SaaS products, internal tools, and high-volume review tasks.
Multi-File Workflow Support: Analyze supported file inputs together with text instructions for richer document comparison, review, and summarization tasks.
Image-Aware Context Support: Include supported image context when analysis workflows need visual references, screenshots, or mixed media inputs.
Structured Extraction: Turn files into summaries, tables, briefs, checklists, and clean outputs that are easier to use in downstream systems.
Production-Friendly Integration: Add file analysis to apps, dashboards, document portals, and automation pipelines through one consistent Flaq AI API workflow.

How to Use Claude Fable 5 File Analysis API for Document Workflows on Flaq AI

Input: Supported file uploads, optional image context, and natural-language instructions for analysis, extraction, summarization, or Q&A.
Output: Text responses with summaries, answers, extracted details, comparisons, and structured document insights.
File Support: File input is supported for document analysis workflows, with optional text prompts to guide the model's reasoning.
Capabilities: Document Q&A, PDF-style review, report summarization, file comparison, information extraction, image-context analysis, and professional knowledge workflows through affordable Claude Fable 5 API integration.

Best Use Cases for Claude Fable 5 File Analysis API Integration

Document Q&A: Build assistants that answer questions about uploaded files, policies, contracts, manuals, reports, and research materials.
Report Summarization: Convert long documents into concise briefs, executive summaries, decision notes, and action-ready takeaways using Claude API integration.
Data & Information Extraction: Pull important facts, entities, requirements, risks, and structured details from professional documents.
Internal Knowledge Tools: Add file understanding to team portals, operations systems, customer support tools, and compliance workflows.
Research & Review Workflows: Compare files, inspect evidence, summarize findings, and accelerate analyst workflows with affordable Claude file analysis.

Note Please ensure uploaded files and prompts comply with Anthropic's safety guidelines, Flaq AI usage policies, and your organization's data handling requirements. If an error occurs, review the file and prompt, adjust the request, and try again.

Claude Fable 5 File Analysis vs Competitors: Comparative Analysis

Claude Fable 5 File Analysis vs. Claude Text-to-Text
Claude text-only workflows are best when the prompt includes all relevant context. Claude Fable 5 File Analysis adds supported file input for document Q&A, summarization, and extraction while preserving a stable Claude API experience.
Claude Fable 5 File Analysis vs. Claude Opus File Analysis
Claude Opus file workflows are suited for premium reasoning and demanding expert analysis. Claude Fable 5 File Analysis provides an affordable Anthropic API option for scalable document review, everyday business analysis, and production knowledge tools.
Claude Fable 5 File Analysis vs. GPT File Analysis
GPT file analysis options offer broad OpenAI ecosystem capabilities. Claude Fable 5 File Analysis gives teams a Claude-style alternative focused on careful document reasoning, clear summaries, and practical API deployment through Flaq AI.
Claude Fable 5 File Analysis vs. Gemini File Understanding
Gemini file workflows provide strong Google ecosystem coverage and multimodal strengths. Claude Fable 5 File Analysis differentiates with Anthropic-style language quality, structured extraction, and reliable document-focused integration.
Claude Fable 5 File Analysis vs. Custom Document Pipelines
Custom document systems can provide deep control but require parsing, retrieval, prompt routing, and infrastructure maintenance. Claude Fable 5 File Analysis API simplifies document intelligence by providing managed file reasoning in one stable, affordable integration.