📊AI Extract•No Google Sheets
Extraia Dados Estruturados com IA
Transforme texto bagunçado em dados estruturados e limpos. Analise endereços, extraia entidades e organize informações — tudo com prompts em linguagem natural.
extracao-dados.xlsx
| A | B | C | |
|---|---|---|---|
| 1 | Texto Bruto | Fórmula | Extraído |
| 2 | Contact John at john@acme.com | | — |
| 3 | Total: $1,249.99 USD | =AI_EXTRACT(A3, "price") | 1249.99 |
| 4 | 123 Main St, New York, NY 10001 | =AI_EXTRACT(A4, "city, state") | New York, NY |
Por que AI Extract?
Transforme o caos em dados limpos
A IA entende o contexto e extrai exatamente o que você precisa de qualquer texto, não importa quão bagunçado.
🎯
Extração em Linguagem Natural
Descreva o que você quer extrair em português simples. A IA entende o contexto e encontra.
✨
Reconhecimento de Entidades
Identifique e extraia automaticamente nomes, empresas, e-mails, telefones, datas e mais.
📊
Análise de Endereços
Analise endereços bagunçados em componentes estruturados: rua, cidade, estado, CEP, país.
🧠
Classificação de Dados
Categorize e marque dados automaticamente com base em conteúdo, sentimento ou critérios personalizados.
⚡
Extração Multi-Campo
Extraia múltiplas informações de uma vez e retorne como colunas estruturadas.
🔧
Limpeza e Normalização
Padronize formatos, corrija erros de digitação e limpe dados bagunçados automaticamente.
Exemplos
Extração com IA em ação
Veja como a IA transforma texto bagunçado em dados estruturados e limpos.
Extração de Entidades•Extrair Informações da Empresa
Formula
=AI_EXTRACT(A1, "Extract name, email, phone, company")Input Text
Hi, this is John Smith from Acme Corp. You can reach me at john.smith@acmecorp.com or call me at (555) 123-4567. Looking forward to discussing partnership opportunities!
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Name | Phone | Company | |
| [1] | John Smith | john.smith@acmecorp.com | (555) 123-4567 | Acme Corp |
Use case: extrair entidades de texto google sheets
Classificação de Dados•Extrair Detalhes de Contato
Formula
=AI_EXTRACT(A1, "Extract job title, company, location, industry")Input Text
Sarah Johnson, VP of Marketing at TechStart Inc, based in Austin, Texas. We're a B2B SaaS company in the project management space.
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Job Title | Company | Location | Industry |
| [1] | VP of Marketing | TechStart Inc | Austin, Texas | B2B SaaS |
Use case: extrair info contato google sheets
Extração de Entidades•Classificar Produtos
Formula
=AI_EXTRACT(A1, "Extract product name, price, color, size")Input Text
Premium Wireless Headphones - Black, Over-Ear, Noise Cancelling. Price: $299.99. Available in Black, Silver, and Rose Gold. Weight: 250g.
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Product | Price | Color | Size |
| [1] | Premium Wireless Headphones | $299.99 | Black, Silver, Rose Gold | Over-Ear |
Use case: categorizar dados google sheets
Extração de Entidades•Parse Invoice Details
Formula
=AI_EXTRACT(A1, "Extract invoice number, date, total amount, vendor name")Input Text
INVOICE #INV-2024-0156 | Date: January 15, 2024 | Bill To: Acme Corp | Total: $1,245.00 | Vendor: Office Supplies Plus
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Invoice # | Date | Total | Vendor |
| [1] | INV-2024-0156 | January 15, 2024 | $1,245.00 | Office Supplies Plus |
Use case: parse invoices google sheets
Extração de Entidades•Extract Event Information
Formula
=AI_EXTRACT(A1, "Extract event name, date, time, location, cost")Input Text
Join us for the Annual Tech Summit 2025 on March 15-17, 2025 at the Austin Convention Center. Sessions run from 9 AM to 5 PM daily. Early bird tickets: $599.
Extracted Data
AI2D Array2 rows × 5 cols
| [0] | Event | Date | Time | Location | Cost |
| [1] | Annual Tech Summit 2025 | March 15-17, 2025 | 9 AM - 5 PM | Austin Convention Center | $599 |
Use case: extract event data google sheets
Extração de Entidades•Extract Resume Information
Formula
=AI_EXTRACT(A1, "Extract name, years of experience, education, skills")Input Text
Michael Chen - 8 years of experience in full-stack development. BS in Computer Science from Stanford. Proficient in React, Node.js, Python, AWS.
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Name | Experience | Education | Skills |
| [1] | Michael Chen | 8 years | BS Computer Science, Stanford | React, Node.js, Python, AWS |
Use case: parse resume data google sheets
Análise de Endereços•Analisar Endereços Bagunçados
Formula
=AI_EXTRACT(A1, "Extract street, city, state, zip code")Input Text
Please ship to: 123 Main Street, Suite 400, San Francisco, CA 94102
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Street | City | State | Zip |
| [1] | 123 Main Street, Suite 400 | San Francisco | CA | 94102 |
Use case: analisar endereços google sheets
Extração de Entidades•Limpar e Normalizar Dados
Formula
=AI_EXTRACT(A1, "Extract revenue, expenses, profit margin, growth rate")Input Text
Q4 Results: Revenue $2.4M (+15% YoY), Operating Expenses $1.8M, Net Profit Margin 25%, Customer Growth 32%
Extracted Data
AI2D Array2 rows × 4 cols
| [0] | Revenue | Expenses | Profit Margin | Growth |
| [1] | $2.4M | $1.8M | 25% | 32% |
Use case: limpar dados google sheets
Casos de Uso Reais
De texto bagunçado para dados estruturados
Veja como equipes usam extração com IA para automatizar fluxos de processamento de dados.
Análise de Avaliações de Clientes
Extraia insights, sentimento e temas-chave de avaliações
Formula
=AI_EXTRACT(A2, "Extract customer name, sentiment (positive/negative/neutral), main issue, urgency (high/medium/low), product mentioned")INPUTRaw text
| Customer Feedback |
|---|
| Hey team, this is Sarah from Account #1234. Really frustrated with the mobile app crashing constantly. This is costing us productivity! Please fix ASAP - high priority. |
| Love the new dashboard! John here from TechCorp. The analytics feature is exactly what we needed. Great work on the update. |
| Quick question - does the premium plan include API access? - Emily Watson |
| URGENT: We can't access our data since yesterday. This is a critical issue for our business. Contact: Mike Johnson, mike@company.com |
EXTRACTEDStructured data
📊 CUSTOMER FEEDBACK ANALYSIS
TICKET #1:
👤 Customer: Sarah (Account #1234)
😤 Sentiment: Negative
🔧 Issue: Mobile app crashing
⚠️ Urgency: High
📦 Product: Mobile App
→ ACTION: Escalate to dev team - critical bug
TICKET #2:
👤 Customer: John (TechCorp)
😊 Sentiment: Positive
💬 Feedback: Analytics feature appreciated
⚠️ Urgency: Low
📦 Product: Dashboard
→ ACTION: Share with product team, request testimonial
TICKET #3:
👤 Customer: Emily Watson
😐 Sentiment: Neutral
❓ Question: API access in premium plan
⚠️ Urgency: Medium
📦 Product: Premium Plan
→ ACTION: Sales follow-up, send pricing info
TICKET #4:
👤 Customer: Mike Johnson (mike@company.com)
😤 Sentiment: Negative
🔥 Issue: Data access blocked
⚠️ Urgency: High
📦 Product: Core Platform
→ ACTION: URGENT - technical support immediately
📈 SUMMARY:
• Total Feedback: 4 items
• Urgent Issues: 2 (50%)
• Sentiment: 50% Negative, 25% Positive, 25% Neutral
• Product Areas: Mobile App, Dashboard, Premium Plan, Core Platform
🎯 IMMEDIATE ACTIONS:
1. Address data access issue (Mike Johnson) - CRITICAL
2. Investigate mobile app crashes (Sarah) - HIGH
3. Follow up on API question (Emily) - MEDIUM
4. Thank positive feedback (John) - LOW
💡 INSIGHTS:
• Mobile app stability issues recurring
• Dashboard update well-received
• Premium plan features need clarification
Pipeline de Enriquecimento de Leads
Extraia e estruture informações de contato de dados de leads bagunçados
Formula
=AI_EXTRACT(B2, "Extract full name, job title, company, company size, industry, email, phone, LinkedIn URL, pain points")INPUTRaw text
| Lead Source | Raw Lead Data |
|---|---|
| Jennifer Martinez, Director of Sales at CloudTech Solutions (200 employees). SaaS company struggling with lead generation. jennifer.m@cloudtech.io | linkedin.com/in/jennifermartinez | |
| Conference | Met David Park - CMO @ StartupXYZ, early stage fintech (30 people). Needs marketing automation. Call: 555-0123 |
| Webinar | Amanda Foster signed up. VP Product, MedTech Innovations, healthcare tech, ~500 employees. Looking for better analytics. amanda.foster@medtech.com |
EXTRACTEDStructured data
🎯 ENRICHED LEAD DATABASE
LEAD #1:
👤 Name: Jennifer Martinez
💼 Title: Director of Sales
🏢 Company: CloudTech Solutions
👥 Size: 200 employees
🏭 Industry: SaaS
📧 Email: jennifer.m@cloudtech.io
📱 Phone: -
🔗 LinkedIn: linkedin.com/in/jennifermartinez
💬 Pain Points: Lead generation struggles
📊 Lead Score: 85/100 (Mid-market SaaS, high intent)
🎯 Next Action: Schedule demo, share case study
LEAD #2:
👤 Name: David Park
💼 Title: CMO
🏢 Company: StartupXYZ
👥 Size: 30 employees
🏭 Industry: Fintech
📧 Email: -
📱 Phone: 555-0123
🔗 LinkedIn: -
💬 Pain Points: Marketing automation needs
📊 Lead Score: 72/100 (Early stage, budget conscious)
🎯 Next Action: Call to qualify, send startup pricing
LEAD #3:
👤 Name: Amanda Foster
💼 Title: VP Product
🏢 Company: MedTech Innovations
👥 Size: ~500 employees
🏭 Industry: Healthcare Tech
📧 Email: amanda.foster@medtech.com
📱 Phone: -
🔗 LinkedIn: -
💬 Pain Points: Analytics capabilities
📊 Lead Score: 91/100 (Enterprise healthcare, specific need)
🎯 Next Action: Custom analytics demo, compliance info
📊 PIPELINE SUMMARY:
• Total Leads: 3
• Average Lead Score: 82.7/100
• Industries: SaaS (1), Fintech (1), Healthcare (1)
• Company Sizes: Enterprise (1), Mid-market (1), Startup (1)
🎯 RECOMMENDED APPROACH:
1. Priority: Amanda Foster (highest score, enterprise)
2. Follow-up: Jennifer Martinez (strong fit, active pain point)
3. Qualify: David Park (early stage, confirm budget)
📈 AUTOMATION OPPORTUNITIES:
• Add to CRM (all 3)
• Trigger nurture sequence based on company size
• Assign to appropriate sales rep (enterprise vs SMB)
• Schedule follow-up tasks
Padronização de Endereços
Analise e normalize endereços de vários formatos
Formula
=AI_EXTRACT(A2, "Extract parties involved, effective date, termination date, payment terms, key obligations")INPUTRaw text
| Document Type | Document Text |
|---|---|
| Service Agreement | This Agreement between Acme Corp (Client) and Tech Services LLC (Provider) effective January 1, 2025 through December 31, 2025. Payment: $5,000/month, due within 30 days. Provider shall deliver monthly reports and maintain 99.9% uptime. |
| Lease Agreement | Lease between Property Owner: Smith Realty and Tenant: Jane's Coffee Shop. Term: March 1, 2025 - February 28, 2028. Rent: $3,500/month due on 1st of month. Tenant responsible for utilities and maintenance. |
EXTRACTEDStructured data
📄 DOCUMENT EXTRACTION REPORT
DOCUMENT #1: Service Agreement
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
👥 Parties:
• Client: Acme Corp
• Provider: Tech Services LLC
📅 Dates:
• Effective: January 1, 2025
• Termination: December 31, 2025
• Duration: 12 months
💰 Payment Terms:
• Amount: $5,000/month
• Due: Within 30 days
• Annual Value: $60,000
📋 Key Obligations:
✓ Provider: Monthly reports
✓ Provider: 99.9% uptime SLA
✓ Client: Timely payment
⚠️ ALERTS:
• Renewal: December 1, 2025 (60 days before)
• SLA Monitoring: Set up uptime tracking
• Payment Tracking: Auto-invoice 30 days before due
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DOCUMENT #2: Lease Agreement
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
👥 Parties:
• Owner: Smith Realty
• Tenant: Jane's Coffee Shop
📅 Dates:
• Start: March 1, 2025
• End: February 28, 2028
• Duration: 36 months (3 years)
💰 Payment Terms:
• Rent: $3,500/month
• Due: 1st of each month
• Total Value: $126,000 (3 years)
📋 Key Obligations:
✓ Tenant: Pay rent on 1st
✓ Tenant: Utilities
✓ Tenant: Maintenance
✓ Owner: Property ownership
⚠️ ALERTS:
• Renewal Discussion: December 2027 (3 months before)
• Rent Review: March 1, 2026 (annual check)
• Maintenance Budget: Track tenant expenses
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 PORTFOLIO SUMMARY:
• Active Contracts: 2
• Total Annual Value: $102,000
• Expiring in 2025: 1 contract
• Expiring in 2026+: 1 contract
🔔 UPCOMING ACTIONS:
1. Q4 2025: Service Agreement renewal (Acme Corp)
2. Q1 2026: First rent review (Jane's Coffee Shop)
3. Monitor SLA compliance (Tech Services)
4. Track tenant maintenance costs
💼 CONTRACT MANAGEMENT:
• Set calendar reminders for all dates
• Create payment tracking dashboard
• Monitor obligation compliance
• Plan renewal negotiations
Pronto para extrair dados estruturados com IA?
AI Extract requer plano Pro (1 crédito/solicitação).
Pro: 3.000 créditos/mês + BYOK ilimitado.
Sem cartão de crédito • Instalação em 30 segundos • Cancele quando quiser