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📊AI ExtractDans Google Sheets

Extraire des Données Structurées avec l'IA

Transformez du texte désordonné en données structurées et propres. Analysez des adresses, extrayez des entités et organisez l'information — le tout avec des prompts en langage naturel.

extraction-donnees.xlsx
ABC
1Texte BrutFormuleExtrait
2Contact John at john@acme.com
3Total: $1,249.99 USD=AI_EXTRACT(A3, "price")1249.99
4123 Main St, New York, NY 10001=AI_EXTRACT(A4, "city, state")New York, NY
Pourquoi AI Extract ?

Transformez le chaos en données propres

L'IA comprend le contexte et extrait exactement ce dont vous avez besoin de n'importe quel texte, peu importe à quel point il est désordonné.

🎯

Extraction en Langage Naturel

Décrivez ce que vous voulez extraire en français simple. L'IA comprend le contexte et le trouve.

Reconnaissance d'Entités

Identifiez et extrayez automatiquement les noms, entreprises, emails, téléphones, dates et plus.

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Analyse d'Adresses

Analysez des adresses désordonnées en composants structurés : rue, ville, code postal, pays.

🧠

Classification de Données

Catégorisez et étiquetez les données automatiquement selon le contenu, le sentiment ou des critères personnalisés.

Extraction Multi-Champs

Extrayez plusieurs informations à la fois et renvoyez-les sous forme de colonnes structurées.

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Nettoyage et Normalisation

Standardisez les formats, corrigez les fautes de frappe et nettoyez les données désordonnées automatiquement.

Exemples

Extraction IA en action

Voyez comment l'IA transforme du texte désordonné en données structurées et propres.

Extraction d'EntitésExtraire les Informations d'Entreprise
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
AI
2D Array2 rows × 4 cols
[0]NameEmailPhoneCompany
[1]John Smithjohn.smith@acmecorp.com(555) 123-4567Acme Corp
Use case: extraire entités texte google sheets
Classification de DonnéesExtraire les Coordonnées
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
AI
2D Array2 rows × 4 cols
[0]Job TitleCompanyLocationIndustry
[1]VP of MarketingTechStart IncAustin, TexasB2B SaaS
Use case: extraire info contact google sheets
Extraction d'EntitésClassifier les Produits
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
AI
2D Array2 rows × 4 cols
[0]ProductPriceColorSize
[1]Premium Wireless Headphones$299.99Black, Silver, Rose GoldOver-Ear
Use case: catégoriser données google sheets
Extraction d'EntitésParse 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
AI
2D Array2 rows × 4 cols
[0]Invoice #DateTotalVendor
[1]INV-2024-0156January 15, 2024$1,245.00Office Supplies Plus
Use case: parse invoices google sheets
Extraction d'EntitésExtract 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
AI
2D Array2 rows × 5 cols
[0]EventDateTimeLocationCost
[1]Annual Tech Summit 2025March 15-17, 20259 AM - 5 PMAustin Convention Center$599
Use case: extract event data google sheets
Extraction d'EntitésExtract 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
AI
2D Array2 rows × 4 cols
[0]NameExperienceEducationSkills
[1]Michael Chen8 yearsBS Computer Science, StanfordReact, Node.js, Python, AWS
Use case: parse resume data google sheets
Analyse d'AdressesAnalyser des Adresses Désordonnées
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
AI
2D Array2 rows × 4 cols
[0]StreetCityStateZip
[1]123 Main Street, Suite 400San FranciscoCA94102
Use case: analyser adresses google sheets
Extraction d'EntitésNettoyer et Normaliser les Données
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
AI
2D Array2 rows × 4 cols
[0]RevenueExpensesProfit MarginGrowth
[1]$2.4M$1.8M25%32%
Use case: nettoyer données google sheets
Cas d'Usage Réels

Du texte désordonné aux données structurées

Découvrez comment les équipes utilisent l'extraction IA pour automatiser les flux de traitement de données.

Analyse d'Avis Clients

Extrayez des insights, le sentiment et les thèmes clés des avis

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 d'Enrichissement de Leads

Extrayez et structurez les informations de contact de données de leads désordonnées

Formula=AI_EXTRACT(B2, "Extract full name, job title, company, company size, industry, email, phone, LinkedIn URL, pain points")
INPUTRaw text
Lead SourceRaw Lead Data
LinkedInJennifer Martinez, Director of Sales at CloudTech Solutions (200 employees). SaaS company struggling with lead generation. jennifer.m@cloudtech.io | linkedin.com/in/jennifermartinez
ConferenceMet David Park - CMO @ StartupXYZ, early stage fintech (30 people). Needs marketing automation. Call: 555-0123
WebinarAmanda 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

Standardisation d'Adresses

Analysez et normalisez les adresses de divers formats

Formula=AI_EXTRACT(A2, "Extract parties involved, effective date, termination date, payment terms, key obligations")
INPUTRaw text
Document TypeDocument Text
Service AgreementThis 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 AgreementLease 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

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